Born From Us
AI is the mirror.
The decision is still yours.
An honest guide for the people who have to make the call.
The argument in one line
AI is not a stranger,
and it isn’t a god.
It’s a mirror. And the work was never about the machine.
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.
Drawing on real examples, including from life sciences and healthcare, Ritesh Dogra and Priya Setty debunk the most common myths leaders carry into boardrooms, and offer a way to ask sharper questions instead of chasing simple answers.
The through-line: the three questions that survive every room
- 01What is it doing?
- 02What is it reflecting?
- 03Who’s responsible when it’s wrong?
Inside the book
Twenty-five short, story-driven chapters.
Five parts. No jargon required.
It draws on real, specific stories from healthcare, regulatory work, parenting, aviation, and ordinary life, not because the lessons are industry-specific, but because they aren’t. If you run a business, you’ll recognize every one of them.
Part One What AI Actually Is
- 1
AI Is Not God. It Was Born From Us
It reasons in patterns because we handed it our patterns.
- 2
Stop Calling It “AI”: The Machines Wearing One Name
Four machines wear one name, and you’re governing the wrong one.
- 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
A Bad Process, Now at the Speed of Light
Amplify a weak process and you get a catastrophe with excellent uptime.
- 5
The Determinism We Never Actually Had
The determinism we thought we had was never really there.
- 6
Garbage Context, Confident Answer
The answer is only as good as the context you build around the question.
Part Two The Human in the Picture
- 7
The Fastest Way to Get Dumber
Let something else be smart for you, and you lose the muscle that made the answer.
- 8
Kicking Away the Ladder
The tool hands juniors the top rung and none of the climb that built judgment.
- 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.
- 10
The Double Standard We Never Named
The double standard we judge by, and never named.
- 11
“Human in the Loop”: There Was Never Just One
Give one draft to four experts and you get four standards.
- 12
Children of the Magenta Line
Aviation learned it first, with lives attached: pilots who forgot flying was their job.
- 13
Nobody Signed Up to Be the Babysitter
Oversight decays into rubber-stamping unless you design it to mean something.
Part Three Trust, Evidence, and Ownership
- 14
The Rumor Outruns the Rollout
What people believe it does travels faster than what it actually does.
- 15
Failure Is Not the Same as Unproven Success
We bury capable systems and call it proof they never worked.
- 16
Everybody Owns a Piece. Nobody Owns the Outcome.
Until a name is the answer, you have four guarded boxes, not an initiative.
- 17
The Irony of Evals: One System Grading Another
To know if an AI is any good, we use other AIs to grade it.
- 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 Four Building Something Real
- 19
Quick Build, Unending Fixes
Skipping the engineering is like skipping the pregnancy. The demo is only the ultrasound.
- 20
Where It Actually Shines
Held to everything this book asks for, it’s the sharpest colleague the work has had.
- 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 Five The Guardrails Nobody Sees
- 22
Correct Is Not the Same As Useful
A model can answer its question perfectly and still change nothing in the world.
- 23
Design Is Governance
The decisions that make a system safe were made long before any review board saw it.
- 24
Some Decisions Can’t Be Learned
Precedent is a record, not a license. Some judgment only ever gets lived through.
- 25
Finally, Some Decisions Can’t Be Undone
The power was never the problem. The absence of wisdom was.
Plus an afterword: Your First 90 Days.
From the foreword
“The technology is rarely the hard part.
The hard part is us.”
“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. I have rarely seen this point made so plainly, or so usefully, for the people who most need to hear it.”
“It is written in plain language. It is built around real situations rather than jargon. And it has the courage to tell leaders what they would rather not hear: that no one in the organisation quite owns the outcome, that the data problem is their problem and not the vendor’s, and that they do not understand their own field as well as they assume.”
The authors
Two people, the same three questions.
Priya Setty
Edited by
Astha Sharma
Astha Sharma is a case author and researcher at the Indian School of Business (ISB), where she has co-authored multiple business and management case studies distributed through Harvard Business Publishing. She works closely with ISB’s research centers and faculty, often collaborating with management experts including Professor D.V.R. Seshadri, and her writing centers on real-world business challenges in emerging markets: digital transformation, healthcare innovation, and strategic disruption. Her cases include Scaling Digital Transformation: Growing LVPEI’s eyeSmart EMR, on how the L.V. Prasad Eye Institute scaled its electronic medical record system, and Reliance Jio: Ultimate Datagiri, on Jio’s entry into Indian telecom. She brought that same eye, for where the real story is and where it’s easy to miss, to editing this manuscript.
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