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Born From Us

AI Is the Mirror.
The Decision Is Still Yours.

AI is not a stranger, and it isn't a god. It's a mirror. And the work was never about the machine. An honest guide for the people who have to make the call.

Every business leader is expected to have a point of view on artificial intelligence, and most are working from a mix of hype, fear, and half-understood headlines. Born From Us cuts through both the utopian and doomsday narratives to explain what AI actually is, where it genuinely changes the game, and where it doesn't.

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Born From Us, original book cover
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The human side of artificial intelligence

We taught AI what it knows.
What did it learn about us?

Behind every confident answer are data, assumptions, and choices made by people. Born From Us helps you see that human story clearly, so you can ask better questions and make more considered decisions.

01

What is it doing?

02

What is it reflecting?

03

Who's responsible when it's wrong?

These are the three questions that survive every room.

For leaders, professionals, and curious minds. Written in plain language, with examples from organisations, healthcare, and everyday life.

Inside the book

From understanding AI
to using it wisely.

Five parts connect the technology to the people, processes, and responsibilities around it. Open each theme to explore the journey.

25chapters
5thematic parts

With a foreword by Professor D. V. R. Seshadri.

Part OneWhat AI Actually IsChapters 1–6
  1. 1. AI Is Not God. It Was Born From Us

    It reasons in patterns because we handed it our patterns.

  2. 2. Stop Calling It “AI”: The Machines Wearing One Name

    Four machines wear one name, and you’re governing the wrong one.

  3. 3. When You Train Something, You Don’t Always Get What You Trained For

    Evolution wanted survival. It got ice cream. Goal and behavior drift apart.

  4. 4. A Bad Process, Now at the Speed of Light

    Amplify a weak process and you get a catastrophe with excellent uptime.

  5. 5. The Determinism We Never Actually Had

    The determinism we thought we had was never really there.

  6. 6. Garbage Context, Confident Answer

    The answer is only as good as the context you build around the question.

Part TwoThe Human in the PictureChapters 7–13
  1. 7. The Fastest Way to Get Dumber

    Let something else be smart for you, and you lose the muscle that made the answer.

  2. 8. Kicking Away the Ladder

    The tool hands juniors the top rung and none of the climb that built judgment.

  3. 9. You Don’t Know Your Own Domain, and You Think AI Will

    You thought you had a standard. You had a vibe. AI gives you the exam.

  4. 10. The Double Standard We Never Named

    The double standard we judge by, and never named.

  5. 11. “Human in the Loop”: There Was Never Just One

    Give one draft to four experts and you get four standards.

  6. 12. Children of the Magenta Line

    Aviation learned it first, with lives attached: pilots who forgot flying was their job.

  7. 13. Nobody Signed Up to Be the Babysitter

    Oversight decays into rubber-stamping unless you design it to mean something.

Part ThreeTrust, Evidence, and OwnershipChapters 14–18
  1. 14. The Rumor Outruns the Rollout

    What people believe it does travels faster than what it actually does.

  2. 15. Failure Is Not the Same as Unproven Success

    We bury capable systems and call it proof they never worked.

  3. 16. Everybody Owns a Piece. Nobody Owns the Outcome.

    Until a name is the answer, you have four guarded boxes, not an initiative.

  4. 17. The Irony of Evals: One System Grading Another

    To know if an AI is any good, we use other AIs to grade it.

  5. 18. Broccoli on the Pizza: Why Transparency Isn’t a Binder

    The broccoli is easiest to miss on the pizza that looks perfect from the top.

Part FourBuilding Something RealChapters 19–21
  1. 19. Quick Build, Unending Fixes

    Skipping the engineering is like skipping the pregnancy. The demo is only the ultrasound.

  2. 20. Where It Actually Shines

    Held to everything this book asks for, it’s the sharpest colleague the work has had.

  3. 21. Your Data Is Your Problem, Not AI’s

    Data isn’t a substance you pour in. It’s a pile of decisions nobody remembers making.

Part FiveThe Guardrails Nobody SeesChapters 22–25
  1. 22. Correct Is Not the Same As Useful

    A model can answer its question perfectly and still change nothing in the world.

  2. 23. Design Is Governance

    The decisions that make a system safe were made long before any review board saw it.

  3. 24. Some Decisions Can’t Be Learned

    Precedent is a record, not a license. Some judgment only ever gets lived through.

  4. 25. Finally, Some Decisions Can’t Be Undone

    The power was never the problem. The absence of wisdom was.

From the foreword

“These systems are not visitors from another world. They are mirrors. They are born from our data, our processes, our decisions, and our blind spots, and they reflect all of it back to us at a scale no human could manage alone.”
Professor D.V.R. SeshadriIndian School of Business
Born From Us book cover

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Meet the authors

Two perspectives.
One essential conversation.

Experience in AI, healthcare, and regulatory work comes together around a shared question: how do we use intelligent systems responsibly?

Born From Us
Ritesh Dogra

Ritesh Dogra

Enterprise AI · Healthcare technology · Practical innovation

Ritesh Dogra has spent nearly two decades finding what actually works when domain expertise meets an emerging technology, and building the thing that proves it. He founded TalkDoc.AI in 2020, one of the first Made-in-India NLP platforms built for healthcare, built Indegene's GenAI practice into a capability serving a dozen-plus global life sciences clients, and co-founded Alethic Insights in late 2025.

Connect with Ritesh ↗
View LinkedIn profile previewRitesh Dogra's supplied LinkedIn profile screenshot; opens LinkedIn
Born From Us
Priya Setty

Priya Setty

Regulatory intelligence · Digital health · AI governance

Geethapriya 'Priya' Setty started as a pediatric occupational therapist, watching how children build judgment slowly, through hundreds of small situations rather than by rule. That lens followed her into medical-device regulatory affairs, where she's spent years on global submissions, quality systems, and AI governance and validation in regulated healthcare. She's a Global Regulatory Affairs Manager, MBA, PMP, and RAC-Devices holder, based in San Diego.

Connect with Priya ↗
View LinkedIn profile previewPriya Setty's supplied LinkedIn profile screenshot; opens LinkedIn

For readers around the world

International editions.
Coming soon on Amazon.

International Amazon purchase links for the paperback and eBook will be added here when available.

Coming soon

Amazon Paperback

International paperback purchase links will be available soon.

Coming soon

Amazon eBook

International Kindle eBook purchase links will be available soon.

Before you pre-order

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What does the pre-order offer include?

The offer includes 10% off, an author-signed copy, and a special author note inside the book.

Do I need a technical background?

No. The book uses plain language and practical examples to explore AI, human judgment, and responsibility.

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