Showing posts with label LLM. Show all posts
Showing posts with label LLM. Show all posts

Tuesday, October 21, 2025

Reviews in the AI age

 

This year, over a twelve month period I am launching a dozen books (most of them completing work/coauthored with my late father, B. Ward Powers — nine of those appearing in the two Rising collections). This means I am knee deep in marketing, with a particular focus on seeking reviews and putting books in for awards — quite apart from the editing and writing involved in bringing to light books that varied from complete manuscripts to sketchy notes.

Over this period, many of the reviews I am getting feel increasingly deficient — and there seem to be two main reasons for this.

1. If you are reading on Kindle Unlimited, it only counts as a Verified Purchase Review if you read it steadily (at what Amazon regards as an appropriate reading speed) and complete it on your phone or ereader (which involves a popup keyboard and some sort of AI assistance). And all Amazon requires is twenty words - and many reviewers, particularly older people, hate typing on phones/pads.

2. We now have readily available LLM-based AI-seeming chatbots, as well as predictive text, speech transcription, and readily available AI-help directly there in your phone if not actually a button on your popup keyboard. It is naturally very tempting to use this AI help — and even if you are just using word suggestion, auto-correction or speech-transcription, that is AI help too. So it is hard to avoid AI.

As an AI researcher, and pioneer in the development of natural/neural language learning models (NLL/LLMs) and embeddings (in the 1970s to 1990s), I have hundreds of publications on AI, and have blogged about these LLM developments recently:

https://martiward.blogspot.com/2025/03/putting-science-back-into-sf-ai.html

https://martiward.blogspot.com/2024/05/ai-are-we-there-yet.html

I am thus writing not an AI naysayer but rather an AI developer who is currently researching how best to apply and improve AI, and in particular how to use AI/LLMs in the context of health support, social media, and as an author. 

And in this blog I will turn my attention to their use in reviews — and I for one am drawing the line at using it to write reviews, or even to rewrite reviews.

So let's look at reviews in our new artificially intelligent age...


What's in a Review

I've received 100 reviews this month, (editorial reviews and reader reviews), particularly focussed around the two BWP+MW Rising collections, as well as my Time for PsyQ (and its fully-cast AI-performed audiobook, plus Apple and Amazon AI-narrated audiobooks of the entire backlist).

I read every review and I've actually been through all the Time for PsyQ reviews (over the last two years), and marked them up according to the following idealized structure of an effective review:

Author@ - @ signifies that evidence of personal engagement and impact is missing (AI-generated?)


Abstract - pithy statement covering the book's purpose/nature & identifying the ideal target reader.
Objective spoilerfree overview of the book & how it addresses/develops the theme and characters
Subjective view of how it appealed to me personally as the reviewer (and where I stand vs target)
Identification of any negatives, suggestions and critique (put as positively and helpfully as possible)
Verdict - drawing all the above into a succinct conclusion/judgement & targeted recommendation.

Before I explain these, I should first note that there are at least three quite different kinds of review:

1. Developmental review - in which I lump input from alpha/beta readers, copy editors and proofreaders;

2. Journalistic review - which includes anyone who reviewed a free copy/ARC, including bloggers;

3. Purchaser review - which means anyone that paid for the book and provided an unsolicited review.


Review Mismatch

Some club type reviewers don't quite know where they sit, and indeed some clubs expect their reviewers to enumerate the errors (or at least the first ten) and deduct stars according to the number of errors found (in some cases these first ten will be anonymously provided to the author). That is they are really in category 2 as they have been given an Advanced Reader Copy (ARC) but are acting as if they are in category 1 (e.g. playing the role of copyeditor and proofreader despite not being qualified as such), and then as if they were a purchaser they put this up on Amazon and/or Goodreads as if they were in category 3.

You really don't want these types of review mixed up, and indeed the final stages of developmental review (technically a form of editorial review since actually helping you edit your manuscript) are usually done in parallel with the journalistic review (also a form of editorial review but actually they are book review editors for their platform not for you as author). Print magazines and newspapers generally want a lead time of at least three to six months - and if it is a quarterly professional/industry/library book magazine it is likely to be well over three months and nearer the six months that is needed).

That is both of these processes (1 and 2) start at least six months before the book is final (and possibly even before the cover is done).

A variant on this is submissions for awards, where often the deadline closes off before the end of the year covered, and so if you have a late publication target (e.g. Nov/Dec for calendar year awards, as most are) then again you will be providing a manuscript without the final formatting, proofreading and cover — in this case it could be provided in double-spaced standard manuscript format to emphasize it is still a manuscript, and I also include riders about its status in such editorial proofs and review ARCs. It is a mistake to send them your early proof copies as if they were published works. In some cases, it may be possible to provide the final form before judging is finalized.

So this is what should happen

1. Developmental review/beta/proofreading send their review/edits to you only (and are normally paid);

2. Journal reviewers/bloggers should ignore superficial errors in their ARCs (or send privately to you);

3. Purchaser reviews should concentrate on the impact on them as a genre reader (but all is fair game).

The 5-part structure I have outlined above applies to primarily to journalistic and purchaser reviews, but a developmental review may follow it as well as a kind of SWOT analysis to show Strengths and Weakness; Opportunities for improvement and market/marketing; Threats as context for providing detailed suggestions as to building on the strengths and opportunities and overcoming the weaknesses and threats.

In particular, note that it is not appropriate for editorial reviews of type 1 and 2 to publish comments about technical errors, and normally positive comments from such reviews are selected by the author/publisher for use on their website, backcover or publicity/press releases (or put up by the author/publisher in a special section on Amazon using Author Central).

The whole purpose of review type 2 is to have pithy endorsements FOR your cover and marketing material AT launch. So you can't possibly ever give them the final published book to review given the aim is prepublished comment to use on the book cover and as part of the launch publicity (publication = publicity not mere printing).

Awards can vary: some do take manuscripts (and indeed may require prepublication access) while others judge published books (and generally have closing dates around the START of the year following publication). These are very different beasts, and indeed there is a third, the above two approaches to professional awards being more like review category 2, while a third class of reader awards is more like review category 3 (and will often close near the END of the following year, or have a nomination period associated with a midyear event where members/participants will vote - think Hugos/WorldCon).

So the moral of the story, is to keep the three kinds of review (and awards) separate — whether you are author, professional editor, professional reviewer or purchaser/reader.

As noted above, the prepublication versions of the manuscript should generally be in a standard double-spaced format (see https://www.shunn.net/format/story/). The wide-margin double-spaced manuscript traditionally allowed editors/proofreaders to write corrections between the lines with comments/codes in the margin. The wide spacing also has the effect of slowing readers down so that they can focus on technical issues without getting distracted by the story (moving a ruler down the page can help here too).

In the past, such manuscripts or galley proofs (https://en.wikipedia.org/wiki/Galley_proof) could also be used for advanced publicity/review purposes. These days, Print-on-Demand (PoD) allows Advance Reader Copies (ARCs) to be presented in standard book format — but it is important that reviewers know they are not the actual published work, and for this reason Amazon KDP adds a "Not for Resale" banner across the front cover (which itself may be just a mockup rather than the final/commissioned/accepted cover). It is also good to mark this clearly throughout the front matter, or even with a running header.


Review Structure

I am henceforth primarily focused on published purchaser/reader reviews (so exclude the development, editorial and proofreading phase as totally separate animals, avoiding those commercial 'book clubs' that mix the different types of review). These are inherently similar, although the ARC/proof reviewer must also avoid comments that can only properly be made if/when they have the final published book.


Abstract
— pithy statement covering the book's purpose/nature & identifying the ideal target reader.

Your first duty as a reviewer is to the reader of the purported genre of the book.

If you have a blog or a magazine or a newspaper column, this will relate to any specialized niches of your publication too: you will not only give the title of the book but the genres that are consistent both with the publishers marketing and your own views and target readership.

Many readers will take in the cover and title and author of the book in about a second, and then spend a second on the title of your review (which is usually a pithy endorsement) and the first line (which will explain the nature of the book and what kind of readers will be interested in it).

This is in many ways like the concluding verdict - and I have avoided use of the word 'conclusion' as the keyword because it has come to simply mean 'ending' in a very weak sense of being the last paragraph or two. But 'conclusion' is actually what you 'conclude' as you draw threads together at the end of your assessment, and balance the pros and cons of what you've been discussing. And even 'end' also has overtones of purpose and completeness, not merely running out of space or time.

Academics, students and speed readers are taught to pay special attention to the opening lines and concluding lines because these bracketing summaries should tell them if/why they should read it and summarize why. Sometimes only the abstract is published or only the first few lines are visible and you actually have to click (and often pay) for more. In this case, it should also summarize the conclusion. If not, my preference is not to give away the ending at the beginning...

The abstract/endorsement is pithy and will include some nice descriptors - and might just end up on the cover of the book or in the publisher's extended blurb. Professional ARC reviewers often deliberately provide such short pithy separate endorsements. Generally, they should be a single line (<64 characters), although for social media often 100, 120, 140, 160 or 175 characters can be the limit - including the attribution to the reviewer and source publication. Normally it will be written in the third person (readers/authors) or second person (you)  — rarely would it be in first person (I).

Have a look at the opening sentences of a few reviews, and note the different character we get with the very few first person and second person intros. I've selected some below for a book that is generally viewed as middle grade, but I regard as being for young adults of all ages (or ages 9 to 99). Note how many are careful to identify the target readership (tween, teen, middle-grade or young adult), and in some cases indicate that it is not just for those younger readers. Others focus on its educational role.

Examples (from Amazon reviews of Time for PsyQ):

A very interesting read, it mixes science fiction with psychic development in an original and entertaining way. 

“Time for PsyQ”, the first entry in the Quantum Talents line of books by Marti Ward, is a fable couched in a young reader's science fiction skin. 

Time for PsyQ is a fun, clever read about Airlie, an 11-year-old who discovers she can read minds with help from her cat. 

Time for PsyQ is an engaging and imaginative middle-grade sci-fi adventure that skillfully blends mystery, magic, and a touch of quantum science. 

I think this is a great book to introduce kids to the next level of reading, going from kid's books to chapter books. 

Time for PsyQ (Quantum Talents Series Book 1) by Marti Ward is an engaging adventure that blends science fiction with a touch of mystery. This book offers a fun mix of supernatural elements, friendship, and personal growth that makes it easy to get lost in its pages.

If you are looking for an exciting novel for your adolescent with an intriguing plot this is the one that you should pick. 

Marti Ward’s Quantum Talents series kicks off with Time for PsyQ, a captivating adventure designed for young adult readers. 

This novel is a good example of how the imagination works in everyone's minds. In “Time for PsyQ” Marti Ward invites readers to enjoy an exciting adventure of teenagers.

This title made me feel like a child all over again, believing into the impossible. Anyone can enjoy this story about a shy girl who discovers she has a unique set of skills, which she can use to help others. 

Very surprising read, a fun one! I really liked how things start with a little mystery around the school and then Airlie, a very smart and curious girl, starts solving crimes and matches in other schools with kids like her. Although my niece just turned 8 years old, she absolutely loved it! 

Reading this book felt like becoming a child again and realizing that the impossible might actually be possible. 

Even if this book targeted children as readers, as an adult I still found myself enjoying it. 

TIME FOR PSYQ, the debut novel in author Marti Ward’s new QUANTUM TALENTS series, is a fast-paced and exciting adventure story for older children and adults and would be an excellent option for reading aloud at school or home. 


Objective
- spoilerfree overview of the book & how it addresses/develops the theme and characters

So between the bracketing abstract and conclusion, as in any structured piece of writing, we need the content, and we should start objectively with the content as the author intended to convey it, without any spoilers (that is important details not in the first 10% or so of the book - which is often available as a preview anyway). On the other hand, it should not simply regurgitate the author's blurb and publicity, and especially not other people's reviews.

This is what the AIs tend to do, and the lack of anything that isn't provided publically by the author/publisher tends to suggest you haven't actually read the book (or that you are an AI).

So although it is objective, it has been through your brain, and taken into account who you are and what the genre is and what audience/demographic you represent, and casts it appropriately. An editorial or journalistic review may give a bit more of a synopsis of the whole book (while avoiding giving away the ending or other surprises/secrets), but a review that shows on the purchase page is a lot more immediate and must be more careful not to steal the author's thunder.

So what will distinguish this objective overview from a recap of the publisher's blurb? Largely it will be in the way you describe things (your own style — even your sense of humour — can show through), the adjectives you use, the precise phraseology... Sometimes you might give a perspective that the author wouldn't have though of — although hopefully will still be able to recognize and see as useful.

It may also include information about the author and their goals and perspective or where it fits in relation to their corpus of writings.  This may be derived from info in the author bio on a website or in the front or back matter of the book. And don't forget about including interesting unique keywords and comparisons that will help the right kind of readers find it — publishers and bookshops really like comparisons.

Here again are examples for you to consider, chosen not because you should emulate them as particularly good, but for diversity — so you can think about what your unique way of presenting a plot might be. Being yourself and bringing new variety to the reviews is more important than any particular idea of 'good' (and indeed Amazon is likely to start filtering reviews that look too standard and generic — reviews are now taking longer as it increases the rigour of its filtering).

Examples (from Amazon reviews of Time for PsyQ):

Airlie Sanderson's eleventh birthday introduces her to a Brain-Computer Interface kit and a mysterious kitten named Sooty. As Airlie explores her newfound psychic talents, she becomes embroiled in a local mystery. 

Focused on the adventures of the main character Airlie, her cat, Sooty, plus her friends and their pets, this story begins with a pet theft. As she attempts to help solve the crime, Airlie discovers that she has a mysterious ability to review events in extreme detail in her mind’s eye. Her talents attract the local police, who recruit her into a specialised camp for other kids and their pets that show special extrasensory abilities.

Airlie's discovery of her psi abilities leads her on a thrilling journey, solving mysteries and navigating a world of intrigue. The author created a compelling narrative, with originality and enchanting twists.

This book followed the adventures of a teenager as she used her ‘perspectives’ or ‘visions’ to help solve problems, meanwhile getting noticed by a Police Inspector and offered numerous opportunities because of them. It was quite the interesting story. 


Subjective
- view of how it appealed to me personally as the reviewer (and where I stand vs target)

Subjective simply means what you thought of it, and how it affected you. It is also an opportunity for you to agree or disagree with the author or other reviews (although we deal with overt criticism of the work next). I tend to look at the middle of the range reviews before buying a book, and sometimes again before writing the review (especially if I want to disagree with a reviewer). 

Sometimes reviews are off track (I've reported several to Amazon that are clearly about a different book, or get things objectively wrong - but nothing has ever happened). So think of reviews on Amazon as a social media dialogue, not just an objective summary. Think of them as being in context not just of the reviews of this book, but of the author's other works.

Sometime we don't have time to write a review, or think we couldn't say it better than another reviewer already has. In that case you could say, like XXX I think YYY — or you could simply upvote them (which should mean their reviews rank higher and display earlier in the "top reviews".

Examples (from Editorial and Verified Purchaser reviews)

My middle-grade reader never felt overwhelmed, and any questions that arose gave us an opportunity to check it out together. The standout for us was the use of a Braille Neue BCI keyboard, and the teamwork in the coordination between characters. Airlie’s technological innovations and the subtle communication methods employed are a testament to Ward's careful attention to detail. 

The appendix, "Science for PsyQ," is a valuable addition, offering readers a deeper understanding of the scientific principles behind the story. It bridges the gap between fiction and reality, making the book appealing to science enthusiasts and curious minds. While the book is packed with action and suspense, it also raises important questions about ethics, privacy, and the societal impact of emerging technologies. 

I liked that it's not all about the action, but about personal discovery and the possibilities the mind offers when connected to something greater. At times it feels like an intimate talk about human potential, wrapped in a futuristic story. Ideal if you're drawn to mind powers, ethical dilemmas and quantum mysteries, but also looking for a hopeful message.

I love exploring young adults books sometimes. They can be a great escape but also not overwhelm me with plot lines and character development.

I liked how it mixed science ideas with mystery in a way that felt believable but still exciting. Airlie’s curiosity and determination stood out, and there were enough twists to keep me turning the pages. 

What stands out most is the strength of the character dynamics. Airlie and her friends form a tight-knit crew, their relationships brimming with warmth and authenticity that make you root for them from the start. The story’s pacing keeps you hooked, with Airlie’s investigations leading to a thrilling race to save a friend at a summer camp for kids with similar PsyQ powers. The addition of a mysterious scholarship offer to a school with “opportunity classes” in quantum psychology is a brilliant touch, sparking curiosity about the broader world and Airlie’s place in it. The novel’s Enid Blyton-esque charm, as noted by The Wishing Shelf Awards, shines through in its cozy yet suspenseful mystery-solving moments.

I first came across Marti Ward’s books when I read Moraturi Lost, which forms part of his Paradisi Chronicles series, a series I also recommend. Time for PsyQ is something quite different and still an interesting read. As the title of the book suggests, the author’s background in behavioural and cognitive/ psychological sciences shows a little even in this book, even if aimed this time at a younger audience.

The blend of science fiction, teamwork, and adventure makes this a fast-paced and fun read. It’s especially refreshing to see kids empowered in such a smart, positive way.


What about these comments?

I'm returning this book 

I want to get my money back

I didn't finish the book (DNF)

I won't read this author again

All of these are subjective, which is to say they they are more about the reviewer (I/me/my) than the author. In many cases it means they didn't like the style, the tone, the genre, the pace - but unless they say so, how will we know why? I may think that, I might even make a decision not to read the author again. But unless the book is totally vacuous and the blurb totally misleading, I wouldn't seek my money back. It may be that I mistook the genre, or simply don't like the language or themes or subgenre - in other words I am not the audience the author is writing for.

So unless I feel gyped, misled, deceived, it may well be in a few years I'll come across the author and again and have another go. If the problem is that the writing is immature (in any of several genre-related and unrelated senses) I will try to give helpful critique and will give the author another chance in the future after they've had a chance to develop their skills and hone their craft. 

In some cases, authors write in multiple genres and subgenres, and for multiple readerships and ages. Some series, I might enjoy while others I would give a miss or give up on (within or after book 1, or later on if the series seems to go off track, degenerate, or become repetitive).

Indeed, there are famous authors and traditional publishers who disappoint and seem to trade on reputation rather than actually keep on publishing good material, or get sidetracked or knocked off course by current trends and publisher pressure.

So while an honest conclusion along these lines may come to mind, it should only be given after making the objective problems clear, and even then should be expressed in a way that is appropriate to the particular author and publisher: debut self-published author versus longtime-bestselling traditionally-published author.


Critique
— 
Identification of any negatives (put as positive sugggestions as helpfully as possible)

Yes! I'm going to include the full set of negatives from Amazon. But my main point here is to be fair and gentle — particularly towards the indie author and their first book. Try to be helpful rather than critical, and definitely don't try to score "my grammar is better than yours" points. On the other hand when a famous traditionally published author seems to have gone off track, or just be churning out tripe around the same old trope, don't hesitate to say so.  I am likely to identify the same issues in a very different ways to these types of authors. The best-selling author and publisher can take the sharp judgement, and their readers deserve to know that this book is not up to scratch.

But remember, the average indie author sells less than 100 copies — mostly to friends and family and by word of mouth. They might make $100 if they don't pay for any advertizing or covers, or developmental editing, or line editing or copy editing or proof reading — all of which cost $1000s at standard commercial rates (this is all in house for the traditional publisher). We want to encourage them to write more not less, and support them in that with positive critique about how they can improve (and with eBooks and Print-on-Demand they can actually fix the book and republish quickly - in which case a sharp negative review will look forever out of place).

Also remember that there is a difference between gently drawing to the writer's attention a frequent typo or misused word, and presenting your own opinions about plot, characters or structure. Often this could be expressed as suggestions or desires ("although I would have liked to see more development of the other characters"). In fact, comments like this can be quite encouraging (and encourage me to write that sequel or alternative PoV novelette - in the case of Time for PsyQ, there is a story in Fantastic Schools, from the PoV of the Police Inspector, and there is a sequel in progress, School for PsyQ, that parallels/expands it - but I have other books in train too: encouragement from reviews and sales might make the difference as to which I complete first).

Also, do check that that word or punctuation or usage you are correcting isn't actually already correct, or idiomatic/traditional in some other dialect of English. This is particularly important for grammatical issues or spelling variations in dialogue, which of itself can be intended to tell us something about the character speaking.

Also be careful about Political Correctness complaints. And remember the author has a voice too in their blog etc. and can potentially make you look stupid. I responded once (indirectly and without direct reference to the review/reviewer/masthead) to a comment in an editorial review complaining about me describing Kate as 'blind': https://martiward.blogspot.com/2023/12/challenged.html

Similarly for gut reactions like 'boring' or comments on 'pace' — this is subjective, and is a function of who you are and how well you represent the target audience (which may not be the whole of broad genre - indeed books generally are associated with at least three categories). Instead you might comment that the pace felt  a little slow at the beginning, or that you wouldn't recommend it to a YA audience due to the smutty language and explicit scenes, or that you were getting frustrated by yet another fight scene or argument or long technical explanation. But remember such statements say as much about you (subjective) as the book (objective) and should really be summed up as judgement as what kind of readers it will and won't suit (verdict).

Note that if you aren't giving four or five stars, it is important to give an indication as to why (although this can be subtle: 'damning with faint praise'). Or some reviewers preface their reviews by explaining that for them it takes an exceptional book to get five stars (think distinction or high distinction: DN/HD).

Examples (from Amazon reviews of Time for PsyQ):

After a slightly sluggish start, this story hits its stride somewhere in the second act.

There are a few predictable elements, but some clever twists help to keep the story balanced.

My only critique is that the summer camp and the other PsyQ kids could have been explored more deeply — I was craving extra scenes showcasing their powers and group dynamics. 

What I'm struggling with is why this book was split into three parts. I understand that each part represents a portion of Airie's story, but it didn't flow together. We see her have friends, lose friends, make friends, etc., but nothing was resolved or understood as to why friends come and go here. I think it would've been better if each part was its own book and just expanded further. Many of the characters who were introduced later in the book deserved better development.


Verdict
— drawing all the above into a succinct conclusion/judgement & targeted recommendation.

Now we return to the objective voice, draw our SWOT threads together and sum up into a recommendation focussed on who will like this book - paying attention to any special features or additional genres/audiences that it reaches (and in the case of children's books, their parents and teachers), and making sure to explain why you are giving the star rating you do, what is going to grab which readers, flagging any cautions relating to language, sex, violence, horror, etc. that might render it unsuitable or unpalatable to certain readers/audiences or be unexpected for targeted genres.

Examples (from Editorial and Verified Purchaser reviews)

Time for PsyQ, is a clever story that celebrates courage, collaboration, and curiosity.

Time for PsyQ is a compelling read for fans of science fiction and young adult mysteries. Its blend of scientific exploration, emotional depth, and thrilling adventures makes it a standout in its genre.

Overall, this is a brilliant book with positive messaging, a bit of mystery, and a lot of fun. Very highly recommended.

I think that is the one that sixth through eighth graders and even adults will actually enjoy. I bet that this is just a good book series to come and more.

This is a true sci-fi novel that is worth exploring for your average reader while managing to keep your interest without being too long overall.

Blending elements of mystery, science fiction, and coming-of-age, this book is both fun and thought-provoking. With unique subjects like Quantum Psychology and “PsyQ” powers, the story opens a door to a world where science and magic blur. Bonus links to real-world science add depth for curious readers who want to dig deeper.

PsyQ delivers a zippy pace with an expertly charming voice, enough emotional conflict to give the characters weight, and mystery and adventure abound as well. Resonant of Harry Potter and Scooby-Doo, but grounded in real science education that will engage even the oldest of readers, the narrative strikes just the right blend of adventure, mystery, humor, and moments of soberness exploring friendship and identity.

An exhilarating, educational and heart-felt adventure that will have readers clamoring for more in this universe!

Ward does a good job of exploring the themes of friendship and courage. The book is mainly targeted towards young adults, but some older readers may see something of their younger selves in Airlie.

Beyond the fun, the book weaves in deeper themes that resonate on a universal level. Airlie’s journey of embracing her unique gifts mirrors the broader struggle of finding identity and purpose in a rapidly changing world. These subtexts elevate the story, making it thought-provoking for both its young target audience and older readers. The inclusion of online appendices tying the story’s science to real-world concepts is a clever nod to curious minds, though I didn’t dive into them myself.

If you like tales about young heroes finding their place and their powers, this one will feel like a cozy escape into a world full of wonder.

I highly recommend this book and I would love to read a second part.

This book makes a great gift for the summer break!

The story is a fun mix of adventure, mystery, and science. I would recommend it to any reader who loves a good story and wants to dream with their eyes wide open.

Perfect for sparking imagination and a love for reading.

A great read for fans of imaginative sci-fi adventures!

Perfect for readers who enjoy exploring the intersections of science, psychology, and possibility.

This is a great book for preteen-aged kids.

If you have a young reader, this would be a good book for them. I would recommend this book to any young reader.


AI Reviews and Shortcuts

I started this by mentioning that I'd seen a lot of reviews that seemed like AI reviews because they didn't go beyond recapping what was on the Amazon and Goodreads pages, and often plagiarized other reviews.

If you are using a phone you could put in some keywords with your thoughts and the book title and get an AI chatbot to do something a bit better than this. That would at least have your ideas and reactions in it.

Or you could write your review and ask the LLM to correct/improve it. This would even better match your ideas and views, just correct grammar, spelling and may improve it stylistically. As long as you don't allow it to expand it. These LLM chatbots do tend to be very verbose... So set a target word count.

The App shortcut

I think one of the biggest reasons people are taking the AI shortcut is how difficult it is to write reviews on a phone - and Amazon won't mark it as a Verified Purchase if you got it from Kindle Unlimited and didn't read it slowly and steadily in the app and do your review in the app.

Unfortunately for me, it has also meant that I am frustrated as I try to compose the review, and tend to to be a little short in more than one sense. So I have to work against that — and indeed will try to come back and edit on a computer in a more user-friendly interface, without the pressure of completing it in the app.

Indeed, there is a fairly direct work-around for this: you can install the Kindle App on your computer, and upload the KU book into both. So when I have finished a KU borrow, I swap to my computer to write the review comfortably on a full-sized keyboard and screen. Of course, I can still edit the completed approved review with the benefit of hindsight and having slept on it.

You should also be able to write the review in a notepad or word processor that highlights errors and offers corrections of spelling and grammar, and then past across into the KU app. Although sometimes, "rich" text from an office suite gets converted to images, and needs to be pasted via a plain text editor (or ctl-shift-V on a PC, or cmd-shift-V on a Mac, should paste plain text).

Hope this helps, and avoids you getting tagged for non-contentive AI-like reviews — as Amazon is doing. Just this week, a reviewer of some of my books got kicked out of Amazon (although the reviews of my books seemed fine to me, short but structured along the lines I advise in this post). 

Reviews with a cancelled account can still show up as 'Amazon Customer' — so don't call yourself that as it suggests you have done something naughty!


Readers, Libraries, Bookshops and Bookfairs

Now that the book is reviewed, my next trick is getting it read - and this doesn't just mean sold to readers (or even that I expect to make money out of a book - it takes multiple books and a lot of work).

For a book of 200+ pages discounted to $0.99, I'll make more from a Kindle Unlimited read than a sale (even though that means I'm in Kindle Select and get the full royalty for a seven day countdown period). Even a full length novel at Amazon's minimum price for full royalty is comparable to the KU royalty.

Similarly there are new models that mean authors get paid per read/borrow by libraries, with no upfront purchase cost - so no excuse for libraries not to carry our ebooks! I discuss the pros and cons of all this in my companion blog post: 
 
Also I wrote an earlier blog focussed on more technical aspects or rating, reviewing and writing, includng grammo/typo matters, how to decide on the number of stars, and the pros and cons of different ways of getting reviews (including author swap and pool schemes):

Whats's in a star


And at bookfairs and local bookshops, I'll price in a way that gives me about the same amount of money as I'd get if the book sold on Amazon as an ebook – the aim is publicity not profit. Or I might give a book away as an author review copy (ARC's need not only be regarded as advance review copies) – suggesting that they might like to buy an ebook on Amazon so that their review will be seen worldwide as a verified purchaser review. 

Other authors in the same genre, as well as newspaper/magazine reviewers and bloggers, are appropriate here – and I will also offer to review other authors' books that seem up my street. But be careful not to promise a good review – the appropriate promise is an honest helpful review. And that's exactly what this blog hopes to encourage...

Oh, and if you see good reviews, please upvote them (especially if you don't have time or inclination to write your own review); and if you see inappropriate or misleading reviews, or reviews that are clearly not on target (e.g. don't actually seem to be about this book), do report them. The integrity of the various platforms' reviews is fundamental to publishing working, and to authors writing and selling books.

Good Reading/Reviewing/Writing/Publishing,

Martı
Ward



Note that the Full-cast audiobook is available via the above link, but it will also link the Amazon/Audible and Apple audiobooks, which are their own AI-narrated versions not the Alistair G version with the full cast of supporting AI voices. The main advantage of the Amazon version is that it syncs with your Kindle if you want to start it at home and take it with you on the road...

Thursday, March 20, 2025

Putting the Science back into SF: AI

I'm leading a full day workshop on SF on Saturday for WritersSA (State Library, Adelaide, SA) that includes 5 session with both "lecture" and "practical" components.

Science, Magic & Speculative Fiction

https://writerssa.org.au/event-registration-civicrm/?id=358

SESSION 1: AIs AS TOOLS AND CHARACTERS (45 MINS)

Discussion on effective research methods, using AI tools ethically, and avoiding common cliches and AI tropes in science fiction writing.

SESSION 2: ENGINEERING YOUR WAY OUT OF PROBLEMS (45 MINS)

Exploration of theme and plot development, world and character building, and solving problems using scientific principles.

SESSION 3: WRITING AN AUTHENTIC SCIENTIST (45 MINS)

Overview of character motivations, goals, and conflicts specific to scientists.

SESSION 4: WORLDBUILDING AND CHARACTER ARCS (45 MINS)

Discussion on how to develop compelling worlds and integrate them into character development.

SESSION 5: SCIENCE AS MAGIC + MAGIC AS SCIENCE (45 MINS)

Discussion on the balance between mystique and plausibility in speculative fiction; Arthur C Clarke’s idea that any sufficiently advanced science/technology is indistinguishable from magic; Marti Ward’s Appearance of Magic™ universe.

LLMs as AIs

One of the trickiest aspects of this (Session 1) is how to deal with AIs - and how today's so-called AIs deal with the various manifestations of AI in science fiction literature and film.

In particular, currently LLM-based AI chatbots have vague purposes, but Copilot has recently been incorporated into Office365 (both the products and as a price increment in your subscription).

Basically in that context it is designed to help you get started on your document or restructure it. Originally however, Copilot had a reputation for being able to write code for you, and tabulate data. It still can, although as risk management constrains it what is does is increasingly restricted/poor.

One of the issues, as an author, is that it can plagiarize work. The more well-known and cited/quoted the work, the more copies it has seen, the more likely this is - and of course the more likely a user explicitly tries to elicit quotes from a work. Again with increasing risk management, this direct copying and copyright violation is largely being eliminated in the big name products. 

The problem with Large Language Models that are too large is that they go beyond being language models to being general repositories of human knowledge and culture, and that includes the stories that have become part of our culture, and it also includes all the social commentary and misinformation available on the internet today. Again, a risk that needs management but is not adequately dealt with. 

I try to direct it (prompt engineer) to provide only information that it can find in refereed sources, and provide those citations in a formal way. But they still point to lots of websites.

Several of my own books are known to them, and it can give the plot and discuss characters sensibly. But I've not found any tendency to regurgitate the texts.

LLMs vs AIs in fiction

The flip side of this new development in AI is how primitive the AIs in our classic movies and shows now appear. Interestingly, HAL holds up well - illustrating some of the risks that our current crop of LLM-based AIs exhibit. Although my Casindra Lost AI, AL, is quite deprecating in his discussion of HAL - regretting the similarity of names and the bad rap/rep that gives him.

One area that HAL and other AIs in fiction get right, and current LLM AIs still get wrong, is 'grounding' - that is being the brain of a robot or vehicle that allows it to fully understand the world in terms of the way it can interact with it - and to learn when new parts of the world expose itself to its sensors.

Really LLM AI Chatpots are not the pinnacle of AI, our autonomous vehicles are. The GAN-enabled AIs dealing with sound and/or images have an edge too, although the understanding isn't there in the same sense that it is for a self-driven car or plane. On the other hand those systems are limited to what is needed for their driving tasks. Although gradually control of sounds systems, integration with smart phones and entertainment systems and climate control, etc. is expanding on this. And LLM AI is starting to join the party.

Did you know?

The prove-you’re-human Turing Tests on websites are actually used to train AIs, and they think they know around half: as the AIs get better, the tests get longer and harder.

This is feeeding into the above systems. This grounded type of system is where AIs will reach maturity and understanding and sentience - in the sense of sensing and understanding and reacting to the world.

Lost Missions

My Paradisi Lost Missions aims to put realistic research in AI into illustrating what we can expect of AI in the stories. While LLMs have hit mainstream since the series appeared, it is based on my 50 years of experience pioneering Learned Language Models - with what constitutes 'Large' growing exponentially year by year, growing by a factor of ten or more each decade — now boosted by the resources of some of the largest companies in the world.

Casindra Lost's AL is introduced as an already fully functioning AI that develops a personality over the course of the book.

The Moraturi arc is a kind of sequel, but focuses on another mission where the main quantum computer and AI are out of action, and other lesser AIs must taken on more responsibilities than they were originally designed for.

    Amazon book pages for Casindra Lost

    (tiny.cc/AmazonCL – Kindle e-book; paperback: ISBN: 9781696380911)


    AI-generated Audiobooks and Translations

    There is no way I could ever recoup the cost of paying someone to do an audiobook or a translation. And narrating myself takes time away from writing (and since I make a few fluffs it takes about twice as long as the final book). I did try to do accents and characterizations for Time for PsyQ (and the first couple of chapters aired in this form on Antipodean SF), and also did some pitch changing to improve the child and female voices (finding that that didn't better if I just did accents without trying to too hard to do the age/sex - just getting the prosody right).

    I also tried AI-voice changing using commercial services boasting an array of character voices.

    And finally I hand-marked up characters and prosody on Google Play and got an excellent result.

    This GooglePlay version of Time for PsyQ is the best audiobook I've heard with its 20+ different AI-generated character voices - much better than the Apple and Amazon/Audible versions of my various books, and at least as good as any of the versions (of early chapters) that I produced myself using direct narration or voice munging. 

    It is available on Audiobooks, Kobo and Google Play:

    https://au.audiobooks.com/audiobook/time-for-psyq-kids/784375

    https://play.google.com/store/audiobooks/details/Marti_Ward_Time_for_PsyQ?id=AQAAAEDS3GicqM


    There are also AI-generated Apple and Amazon/Audible versions of all my books, and while they are pretty good and improving, they aren't nearly as good as the above Google Play version of Time for PsyQ. 

    Quantum Talents/PsyQ

    I've already written/blogged appendices to my Quantum Talent Series' Time for PsyQ (included in the education edition) so won't say any more about them here, but the educational version including the background material from the following blog entries has got some good reviews and feedback from parents and teachers:


    The GooglePlay version of Time for PsyQ is the best audiobook I've heard with its 20+ different AI-generated character voices - much better than the Apple and Amazon/Audible versions of my books. 

    The Educational Edition is here:
    https://books2read.com/Time4PsyQ

    (Both the educational edition with the Science for PsyQ appendix and the minimally priced original edition without the appendix are now on Amazon.)

    Do let me know what you think, and whether I should invest the time in doing Google Play versions of other audiobooks - I think they are better than anything I've heard on Apple or Amazon or Audible.



    Major outlets for Marti Ward books



    Contact Me


    I'm also open to other comments on my books or my blog, or requests to be a proofreader or betareader for my books (although I get lots of email, not to mention a lot of spam - so it may be a few days before I reply). I can be reached on gmail.com as marti24ward. 

    Monday, May 13, 2024

    AI: Are we there yet?

    Artificial Intelligence or Artificial Idiocy?

    As a pioneer of statistical and neural learning technologies for natural language processing and (embodied) conversational agents, it is has been great to see the advances that larger and larger language models and clever use of embeddings, attention and filtering, have made in the last couple of years.

    It is important to understand that large language models (LLMs) themselves are statistical models that predict what words and phrases are likely to come next, and a model like GPT4 is trained on a very expensive run through a very large fixed body of text (the corpus) - and so itself doesn't learn any more, and doesn't actually understand anything about the world or what it is saying. So no real intelligence there yet...

    However, the same kinds of models can be trained on speech, where the units are phonemes rather than characters, and phrasing is conveyed by intonation rather than punctuation. Moreover, similar models are being trained with images and videos, and this does start to give us information about the world.

    There are also risks that come from the social and legal pressures that are being brought to bear on the development of these systems. 

    When I started working with embeddings and LLMs in the 1970s (for speech and text), there were three big problems beyond the the actual language and learning domain: the ability to find large enough amounts of text and/or speech, the size and cost of primary and secondary storage (memory and disk/tape), and the speed of the computers and their storages systems. I was working initially with (multiple) 8 and 16-bit computers where the memory sizes where just a few KB (64KB was the limit) and disk sizes were just a few MB (my first hard disk was 10MB) and a large corpus was thus of the order of a couple of million characters. 

    Now large language models are trained on millions of books, billions of webpages, trillions of characters of text (viz. TB). They also have access to movies/photos/images and programs/code. A major risk thus relates to availability, quality, privacy and copyright. Have these materials been used and copied illegally? And should copyright holders get redress (demands including not just financial recompense but deletion of any LLMs that include their work or a tainted by illegal use of it as training data)? Or should the copyright legislation and its fair use exceptions be modernized to allow and control such use (as happened with fair use copying for print, audio and video)?

    I am an interested party on both sides of this: my books and other publications have been indexed and analysed by Google and others, but I see this as different from pirating. It seems to me to be fair use as it enables me to search the web and find the books and papers - and see enough context to have a fair idea whether it is worthwhile obtaining and reading it (my university has subscriptions to most things I want, and can get others on interlibrary loans or as fair use copies). There are provisions in law for this, including payment of usage fees to copyright agencies on behalf of university and school users. It is also possible for this to be paid by the government or the benefiting industry sectors (and covered by appropriate taxes and tarifss, as e.g. happened with audiovisual recording media). This is the path I hope and expect governments will follow, but as usual technology moves faster than government, and the courts do the best they can, and the legislation that results is not always technologically sound and pragmatically useful (and indeed new lobocracy laws may contractict a user's fair use rights).

    From the AI side of the question, the LLM does not actually include a copy of any particular copyright work. Rather information from many works are "embedded" in statistical and/or neural frameworks that find the commonalities and interrelations. So what is generated is unlikely to be a full or unfair (more than 10%) use of a work, although it is quite likely to generate phrases and statements (linguistic or programmatic) that appear in similar forms in multiple works. Most of the language (and code) we use is commonplace and idiomatic and only the names (or variables) change. What is not commonplace but unusual or novel is what actually constitutes intellectural property or literary or technical invention. If I use an LLM-based system as a sounding board to fleshout my ideas and bring them together, that is very useful whether that is coded in natural language, a programming language or the results are encoded as an image.

    Over the years before ChatGPT, Copilot, Gemini and the like made their appearance, I was using similar techniques to provide a hands free interface (based on eye-tracking and EEG for people with disabilities) to allow searching the web, collating the results into a report, and provide/suggest appropriate quotations and citations. As a teacher, I teach students how to do this properly, quoting and attributing things properly and avoiding academic dishonest, plagiarism and the like. This is much like what these LLM systems try to do, although at the moment they don't do it very well - much like my undergraduate students. But because of outcries about copyright and plagiarism, or getting the LLM to do student's assignments, or not reflecting today's politically correct prescriptions and proscriptions, the systems are being hamstrung, downgraded and restricted to the point where they are not as useful as they could be (and indeed they are thus getting worse rather better in terms of utility).

    The AI/LLM models that you are playing with may have both a fixed LLM model at the heart, other models trained to help with composing images or speech, prompts and filters that guide and censor them to produce answers of an acceptable form in an appropriate format, and so on. These additional layers can retain information within and between sessions, can look at images and can search the web. However, currently sessions tend to be limited with no direct memory of previous sessions and no actual learning across sessions, and the results of searches tend not to be retained fully even within a session - and the "robots.txt" limits on searches may impact the ability to refine the answer to an ongoing question (so it will want to start a new session on a new topic).

    These conversations themselves may be used by a combination of human and automatic processing to improve the overall AI experience even though the underlying LLM hasn't changed. And of course, such experience can feed into future LLMs with greater quality control - although those Large Language Models take months of training on thousands of GPUs.

    Writing reports and papers

    One of the opportunities (from the point of view of employees and students) for these models is to research topics and write summaries and reports (and of course, they can also be used to try to identify and distinguish real human/student work from artificial/faked work).

    The models are by their nature inclined to make up stories and facts, and are limited in their access to real facts (both those in the original corpus, due to the compilation into embeddings; and those in the searchable web). The report-writing wrappers around the LLMs may thus push them to write in a formal dotty way with references to the sources - although these sources need to be checked as they do not alway contain the "fact" asserted.  A good way to test out the models is on area where you are expert (and for me that's me, my research areas and my writings).

    From the perspective of a teacher we have several problems. One is that students who use them are not learning things themselves, and don't know the area well enough even to see what is right and wrong. Longer term however, it is appropriate for students to learn how to use AI tools to be more efficient and effective - but we have big problems ensuring the accuracy of the AI's results, which requires a separate fact-checking step, and ideally would involve grounding in the real world and actual understanding of what it is talking about.

    From the point of view of a user, whether academic or personal, there is a real problem with us believing what the system tell us, even though it is often wrong and can be persuaded to change its mind and tell you something different. There are ethical issues as well with certain uses, including as a "friend" or "adviser" or "counsellor", that were already considered by Joseph Weizenbaum in his 1970 book, "Computer Power and Human Reason: from Judgement to Calculation" — which was written after the "success" of his famous 1960s Eliza/Doctor program.

    However, this is a track we are going down with automated systems providing help and advice, and we are currently addressing the dangers of bad advice or even just lack of empathy.

    There are even fake research papers being written with the help of these LLMs.

    But there are also some missed opportunities.  Currently most of the citations (hyperlinked/footnote references) are spurious. They will mention some relevant words but will not in general contain the actual fact or argument that attributed to them. I have never yet seen an LLM chatbot give me properly quoted and attributed references that link directly to the source (and give precise page numbers for work that appears in printed or printready form). Every single response I've ever received (of thousands, across many companies' models) would receive a fail in terms of scholarly presentation and academic integrity and critical acumen. And generally you can lead them to give you "facts" that agree with what you've proposed.

    We don't need a committee of yes-AIs, but critical analysis, synthesis and appraisal. And yes, multiple AI models with different training and different purposes can be combined to help refine the question (prompts), collate and present the facts (search), and argue the pros and cons on any issue or proposal (SWOT analysis).

    But as it stands, whether you select creative, balanced or precise (in models like Copilot that offer this), you are likely to get faction rather than facts.

    Writing stories/books

    So while these models may find it difficult to stick the the facts, surely that must mean that story-telling is a natural opportunity. Indeed there are now many AI-generated stories and books being published, and detecting these is a major headache for the publishing industry, and authors are being asked to disclose if "AI" has been used in the creation of the story, or the images, or the narration (technically we should also say yes if we used Word since it uses AI for spelling and grammar corrections/suggestions - but I don't use that as they are generally wrong after my initial typos are eliminated).

    Conversely, marketers are using "AI" to produce blurbs and teasers, to select keywords and categories, for human written books - so even with these attempted protections, the books may be authentic human stories, but what you see when you purchase may be computer generated.

    Human authors, may also use "AI" in brainstorming for ideas. But that may lead to inadvertent plagiarism as the LLM can generate phrases, sentences and larger sequences from its training and search data. Also, a book needs a consistent world and history that gives rise to its own set of fictional "facts" - and a lot of the filtering on top of an LLM is to ensure that it remains consistent within a conversation.

    So to write a longer story or hold a longer conversation, it is important to use the LLM itself to summarize facts in a way that can be included in later prompts. Indeed bigger AI systems may use multiple LLMs to produce and manage and optimize prompts, and to filter and check the results - currently more internal constency than external accuracy.

    We've also explored using LLMs to write a story in the style of a particular author, and/or target it to an appropriate audience. Generally, they can do pretty well at these stylistic things. But of course in a novel, you have to give each character their own personality, and would some how have to capture and maintain that in a sequence of prompts.

    So far, I'm not finding them much competition for me! or much help...


    Narrating stories/books

    Natural "AI" voices are getting pretty good, and for me the big opportunity is to do audiobooks with authentic character voices. So I've recently produced audio versions of some stories in five different ways (some stories/poems/extracts are airing on radio, and I have some audiobook versions of my novels in the works).  

    I've now produced my first audiobook (of Time for PsyQ) using Google Play AI technology, with the earlier chapters narrated in five different ways using three different toolchains (not all of which involve AI) as I experimented. For Apple Books, I've used their single female AI voice to autonarrate a second version. And finallyI got selected by Amazon, so they have produced a third version. At this point the technology is new, and with significant restrictions about which outlets will accept what.

    In fact, I think this technology is going to change the whole nature of audiobooks, making them more like the radio plays our parents or grandparents listened to. Down the track, we can expect to see multicharacter autonarrated audiobooks and even autoacted videobooks that compete with telemovie adaptations.

    Unfortunately, reading is a dying art: both reading out loud, with appropriate expression; and reading to oneself, with good comprehension. Reading books ourselves requires us to interpret the author's descriptions of scenes and characters and emotions constructively, imagining them. Thus books impose the most cognitive load, audiobooks less, and videos/movies/plays the least. This suggests why people now watch movies and teleseries, including adaptations from books, more than they actually read books, with audiobooks now starting to overtake ebooks for market share so that they look like occupying an intermediate position. 

    The rise of audiobooks is somewhat controversial in relation to their effect on literacy. It still requires interpretation of scene and character details, but a good narrator will convey emotions and distinguish the characters with slightly different pitch, accent and/or mannerism. A radioplay or dramatized audiobook goes further by adding sound effects (and I have experimented with character voices and sound effects for some of my stories/chapters voiced for radio) - but they are not permitted by the Google and Apple AI narration and Amazon says they cause problems for their AI-mediated Whispersync. 

    Educators, including teacher/librarians, face a variety of so-called scholarly evidence and other inputs and recommendations, involving a great deal of only partially accurate information about this subject.

    It is partly true that the same brain areas are involved in "reading" audio books and electronic or print books, in the sense that our language areas are active, and the cognitive areas responsible for understanding and interpreting the text are active.  To an extent even some speech/hearing areas are active, as nearby areas are involved in phonological, lexical and grammatical processing, and there are also "mirror" neurons that fire across multiple modalities (which Time for PsyQ's 11-year-old heroine mentions in the book, which has a lot of brain science and technology in it). Actually in my PhD (late 70s early 80s) I predicted and modeled mirror neurons as being necessary for language learning around the same time they were being discovered elsewhere (although unfortunately, the paper about their discovery was rejected by Science so publication was delayed till after my PhD thesis was complete).

    The use of parallel hearing and reading of texts is also useful for comprehension - one of the reasons we use multimodal methods in teaching. I used this approach in learning Chinese (where the characters are more semantic than phonetic, and have different pronunciations in different languages/dialects). The phonic approach of teaching people to read has the disadvantage of focussing on letters rather than words and sentences, and hearing a audiobook as they read along in the text — or having it read to them by a parent or teacher as they read along — helps trigger those mirror neurons, helps them learn the pronunciation of less phonetic words and names, and models and encourages good fluent reading (if the reader is good - many cheap audiobooks of classics have rather poor readers who mispronounce the less common words).

    In fact, the main reason I chose to adapt Time for PsyQ to an audiobook format was that a considerable number of parents and teachers had mentioned that they had enjoyed reading the book out loud with their children.

    On the other hand, I still have reservations about audiobooks, and note that the western world is seeing increasing loss of literacy, with most Americans reading at primary school level or less. I expect to see the increasing prevalence of audiobooks, particularly in schools and libraries, to drive literacy to even lower levels.

    The typical adult in an English-speaking country spends over 5 hours a day watching video of one form or another, and around 2 hour a day listening to audio of one form or an other, with audiobooks approaching 1 hour a day on average, while reading physical or electronic books has fallen to 16 minutes a day on the average in the US, with a similar amount of time spent reading traditional news sources.

    There is also a corresponding transition from face-to-face and voice-telephony interaction to social media, and smart phones improved speech interfaces are impacting use of the reading/writing/typing modalities still further.

    Nonetheless, I chose to go ahead and produce an audiobook of Time for PsyQ, which has just been published through Google Play and Findaway Voices, and is already available for Kobo (although will not be available on Amazon or Apple in the near future due to their rules regarding AI-medidated narration).


    Single Narrator

    Generally, an audiobook or radio narration will use a single narrator, in my case author narrator. This has a number of technical issues associated with it, relating to the equipment and the postprocessing to appropriate standards. Professional narrators will often work with a professional audio engineer to deal with this.

    For me, there are also the limitations of my voice (although of the dozen or so audiobooks I've sampled, only the best professional voice actors do better). Furthermore, I am used to lecturing with a lapel mike, and speaking into a close mike for a recording is a little different. Also what is acceptable "live" is not acceptable for audiobooks (e.g. p-pops and s-sibilance and background noise).

    In addition, I'm not the greatest at accents — particularly playing the parts of half a dozen different eleven-year olds of both sexes. For a short story, with few characters, I can make them different enough by getting into a persona. But my YA novel Time for PsyQ has 42 different people to voice (not to mention some animals).

    So in my single narrator version, I gave people accents of different nationalities, and tried to adjust my tone, pitch, formants, speaking rate and voice quality to suggest their age and sex.

    Signal Processing

    For the signal processing (audio engineering) of my audio I use Apple's GarageBand. This allows for the normal compression and limiting needed to meet audiobook standards, but also allows some other possibilities. I pulled characters out of my narration onto separate tracks, and adjusted fundamental and formant frequency to adjust the age and sex of my characters.

    This works surprisingly well, and I found it works best if I don't try to distinguish age/sex with frequency/formant shifts in my own narration — concentrating on prosody and national/ethnic accent.

    Note that no AIs were harmed in the making of this version — all is standard signal processing using techniques that go back a century. The fundamental frequency of a voice is its tone (for tone languages) or intonation or pitch (for singing). The formants are the resonance frequencies that relate to the shape of your vocal tract (including oral and nasal cavities) as altered by manipulation of articulators (like tongue and lips) — so they change dynamically in a way defined by the language/dialect/accent, as well as systematically due to individual difference (including smaller dimensions for females/children giving rise to higher frequencies/resonances than adult males).

    I call this signal processing approach voice munging.

    Voice Changing/Voice to Voice (V2V)

    There are now many open-source packages out there for doing voice-changing, although they are tricky to use and install. There are also companies that are using these packages on a subscription basis to allow you to change your voice to a celebrity voice (do not use for commercial purposes), or a synthetic voice, or in some cases a commercial voice (where a voice actor has been paid and the voice is licensed for performance in commercial works). 

    None of them are particularly good at this point — those I have tried all have their limitations, and are generally designed for karaoke/covers in someone else's singing voice. Nonetheless I managed to produce a version of Time for PsyQ  Chapter 1 with good characterizations by using pitch adjustment in combination with the target voice's formant characteristics.

    The target voice characteristics are extracted by training on a text, and it is relatively easy to get the characteristic relaxed baseline formants for a particular speaker (just get them to say errrrr). It doesn't even require a neural network (generally of the order of 20 parameters suffice and this vocoder-type technology goes back close to a century), although these systems do use "AI" in the form of an ANN (Artificial Neural Network) to derive theirs.

    Because the commercial systems were so inconvenient to use, this took a huge amount of time. I may write my own wrapper around one of the open-source voice-changers to make this a bit more automatic (I had to identify all quotations, pull them out, individually, change frequencies and regenerate in the target voice, then paste it back into an appropriate character track).

    This gives really good results because more parameters are controllable than I could manage manually in GarageBand (the V2V systems usually use a Python toolchain, although I often use Matlab). I also added sound effects at the various breaks in this version (which will be used on radio).


    Voice Cloning/Text to Speech (TTS)

    The final option I wish to present is text to speech, and I tested multiple systems and commercial products — all of which had considerable pros and cons. Some of the commercial systems had different sets of voices trained using different toolchains and these different technologies allowed different degrees of control available, in terms of adjusting pitch, emphasis, naturalness, speechrate, etc. (and one charged 5 times as much per character for the more realistic voices, including your own cloned voices). But I won't mention any names as this is not intended to be a formal review of such systems and I wouldn't want to plug any of them.

    So what is a cloned voice? One feature of the commercial systems is that they allowed you to clone your own voices (licensed by the month), which means that you can use your own voice, family/friend voices or borrowed/stolen voices. I guess this is useful if you have difficulty speaking clearly for long periods or don't have the appropriate equipment to do commercial quality recording. However, you need to provide samples of your voice and the quality of these samples determines the quality of the clone voice - it reproduced the imperfections, the background/room noise, etc. And even some of the voices provided had such issues. Also the cloning may really be a merging of your voice into an existing model — which means an American accent can be heard under the clone of my Australian or British voicing even after training with a couple of hours of my speech.

    But the big problem here is that the TTS systems don't read the way I do or speak the way my characters should. While V2V can track my prosody (pitch, timing, intonation, loudness, accent), these system do their own thing - badly. Though the some systems/voices allowed some repairs by virtue of their pitch/rate/emphasis/naturalness controls. The other issue is that the repertoire of available voices and accents is low. Also voices that are more 'intelligent' tend to offer less opportunity to affect their prosody manually.

    But the main reason I abandoned these commercial systems was the cost of these per character — particular given the number of attempts at tweaking them I needed to get an acceptable result.

    Google Play's AI voices/autonarration

    After several weeks of playing around with various alternatives, and noting that Findaway Voices and Google Play will only put up autonarrated audiobooks done by Google Play I published my 42-character rendition of Time for PsyQ. 

    With the Google Play autonarration, there is a limited repetoire of English-speaking voices: 12 US, 5 IN, 4 UK, 3 AU split unevenly across male and female, with no voice actors younger than 30ish (there is one female and two male US voices that sounds like late 20s). For comparison, Amazon Polly also has 12 US voices, with 6 UK voices (including 1 Welsh and 1 Irish), all adult; plus 3 IN voices, all female; 2 Australian voices, male and female; 1 NZ and 1 ZA voice (both female). Quite tough if you have an international cast with few (if any) Americans!

    I quickly found that the Google Play interface was limited (could only change the target voice and the speech rate), flawed (question and command/imperative/exclamation intonation is not reliably produced, and postposed speech tags, like "Airlie said", are pronounced with loud sentence start levels and intonation) and overall quite buggy (e.g. hanging periodcally, plus although there is the ability to correct mispronounced words, it doesn't work reliably because it gets a couple of characters out in the segmentation — that is it replaces part of the word, or part of two words, with the new phonetically described pronunciation). 

    So I did a lot of rewriting, moving speech tags from the end of quotations to the start, replacing mispronounced words by phonetically spelled versions in the text, or by a different word. You'd think it would know that "he'd read" is pronounced like "red" not "reed" but it tended to get that wrong. Overall, the result sounds much better than the half dozen AI-voice audiobooks I've listened too on Google Play.

    I had hoped to munge the resulting audio to fix the most egregious prosody problems (questions and speech tags, and excited kids) — at least for broader Findaway Voices distribution, but when the specific AI-voice terms and conditions were presented they made clear that I could only use the generated audio in unaltered form. I will note that it is not clear from the various terms of the various audiobook distributors that my munged versions or V2V versions would be acceptable either, even though I technically narrated it all.

    Pros and Cons of AI-generated Audiobooks and Translations

    There is no way I could ever recoup the cost of paying someone to do an audiobook or a translation. And narrating myself takes time away from writing (and since I make a few fluffs it takes about twice as long as the final book). I did try to do accents and characterizations for Time for PsyQ (and the first couple of chapters aired in this form on Antipodean SF), and also did some pitch changing to improve the child and female voices (finding that that didn't better if I just did accents without trying to too hard to do the age/sex - just getting the prosody right).

    So with lots of workarounds, I completed Time for PsyQ markup and I got what I felt was an acceptable result and published it on Google Play. The final version actually does sound pretty good - perhaps even better than the preview version I worked with in their autonarration interface (although some voices didn't sound as good due I expected, probably due to compression to audiobook standards). In fact, I would say it is better than the vast majority of audiobooks I've listened to - the exceptions being some by highly paid internationally renown actors on best selling books (and even then lacking the ability to characterize as well).

    It is, in particular, much better than the Apple and Amazon/Audible versions of my various books, and at least as good as any of the versions (of early chapters) that I produced myself using direct narration or voice munging. 

    It is available on Audiobooks, Kobo and Google Play:

    https://au.audiobooks.com/audiobook/time-for-psyq-kids/784375

    https://play.google.com/store/audiobooks/details/Marti_Ward_Time_for_PsyQ?id=AQAAAEDS3GicqM


    There are also AI-generated Apple and Amazon/Audible versions of all my books, and while they are pretty good and improving, they aren't nearly as good as the above Google Play version of Time for PsyQ. 

    Quantum Talents/PsyQ

    I've already written/blogged appendices to my Quantum Talent Series' Time for PsyQ (included in the education edition) so won't say any more about them here, but the educational version including the background material from the following blog entries has got some good reviews and feedback from parents and teachers:


    The Educational Edition is here:

    https://books2read.com/Time4PsyQ

    (Both the educational edition with the Science for PsyQ appendix and the minimally priced original edition without the appendix are now on Amazon. Only the 42-character AI-voice Google Play/Kobo/Audiobooks audio versions are the educational edition at this point. In particular, Amazon/Audible's is the original edition.)

    Ethics and voice piracy

    There are clearly concerns about the use of AI-generated voices for narrating audiobooks. Obviously it is changing the industry, just as AI-generated art is affecting the design of covers. And self-publishing and ebooks/audiobooks have ousted the traditional roles of publishers and printers.

    Generative AI, including GANs and Diffusion Models, work by changing an arbitrary starting point to look/sound more like the target, and are not directly reproducing anything - although in many cases companies may be making unpaid use of copyright materials (text, images and audio) and cheap/exploited labour for labeling.

    Training on text to learn language, when they aren't actually storing a copy, arguably doesn't violate copyright - although author associations are arguing that authors should be paid if their work is used this way, and it is a derivative work. Similar considerations apply to art. And did you know that when website-protecting Turing Tests insist on your identifying words or images, that much of this unpaid work of yours is going to training AI - they include some they are confident in to check you are human, and some they are unsure about to train their AI. So the AI is getting better and it takes more work to check you are human (and they can also get more free labeling work out of you).

    But reproducing actual celebrity voices/faces deliberately (as some companies/products do) is different from the ability for user prompts to get arbitarily close to copyright text and images if the try hard enough (or if the image/sound is sufficiently ubiquitous). 

    Reputable companies do pay voice-actors for using their voices, but voice-actors and other contributors should make sure they not only get paid for the use of their recordings, but that they get royalities for the ongoing use of their voice - just as actors do when they appear in a movie or on TV or radio.


    Question

    Do let me know what you think, and whether I should invest the time in doing Google Play versions of my other audiobooks (13 titles available on Amazon and/or Amazon or in the pipeline) - I think they are better than anything I've heard on Apple or Amazon or Audible.


    Major outlets for Marti Ward books



    Contact Me

    I'm also open to other comments on my books or my blog, or requests to be a proofreader or betareader for my books (although I get lots of email, not to mention a lot of spam - so it may be a few days before I reply - feel free to resend after a week). 

    I can be reached on gmail.com as marti24ward.