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In their own words

A name and a job title tell you almost nothing. For each person on the Who's Who list, this page points at one real interview, Q&A, profile or recorded talk about them — published by someone else, with the outlet and the date so you can judge it for yourself.

I haven't written any of these pieces and I don't paraphrase them. Where one sits behind a subscription, it says so before you click. More get added as I find them; a profile with no honest interview yet simply isn't listed.

20 of 20 profiles

Fei-Fei Li
Fei-Fei Li

Co-director of Stanford HAI; founder of World Labs

TalkTEDApril 2024

With Spatial Intelligence, AI Will Understand the Real World

Li explains, in plain terms, what it would take for machines to understand physical space the way people do.

Geoffrey Hinton
Geoffrey Hinton

Pioneer of deep learning; professor emeritus, University of Toronto

InterviewCBS NewsApril 2025

Full interview: "Godfather of AI" on hopes, fears and predictions for future of AI

The long version of the interview where he says out loud why he left Google and what worries him now.

Timnit Gebru
Timnit Gebru

Founder, Distributed AI Research Institute (DAIR)

InterviewDemocracy Now!August 2026

"Deep Unlearning": Timnit Gebru on AI Hype, Ethics & Algorithmic Racial Bias

Her own account of being forced out of Google, and why she says the bias sits in the training data.

Joy Buolamwini
Joy Buolamwini

Founder, Algorithmic Justice League

InterviewFresh Air (NPR)November 2023

'If you have a face, you have a place in the conversation about AI,' expert says

How she found that face recognition failed on her own face, and what she built in response.

Yoshua Bengio
Yoshua Bengio

Turing Award laureate; chair of the International AI Safety Report

Q&ANatureNovember 2025May need a subscription

'It keeps me awake at night': machine-learning pioneer on AI's threat to humanity

Why one of the field's founders now spends his time on catastrophic risk. Nature may ask you to subscribe.

Demis Hassabis
Demis Hassabis

Co-founder and CEO of Google DeepMind

ProfileTIMEApril 2025

Demis Hassabis Is Preparing for AI's Endgame

Traces the line from a Nobel-winning protein-folding model to his stated goal of building general AI.

Dario Amodei
Dario Amodei

Co-founder and CEO of Anthropic

PodcastBig Technology PodcastJuly 2025

Anthropic CEO Dario Amodei: AI's Potential, OpenAI Rivalry, GenAI Business, Doomerism

A long, unedited conversation where he is pushed on both the business case and the risks.

Ilya Sutskever
Ilya Sutskever

Co-founder of Safe Superintelligence Inc.

PodcastDwarkesh PodcastMarch 2023

Ilya Sutskever (OpenAI Chief Scientist) — Building AGI, Alignment, & Future Models

Recorded before he left OpenAI, so it shows what he believed while still building the models there.

Andrej Karpathy
Andrej Karpathy

Founding OpenAI member, former Tesla Autopilot lead, now pretraining research at Anthropic

PodcastDwarkesh PodcastOctober 2025

Andrej Karpathy — AGI is still a decade away

A builder's case for why the timelines you read in headlines are too short.

Andrew Ng
Andrew Ng

Founder, DeepLearning.AI; Co-founder, Coursera

PodcastStrange Loop (Sana)2025

Andrew Ng: Why AI coding is the new literacy

Useful if you're deciding what to learn: he argues what's worth your study time and what isn't.

Arvind Narayanan
Arvind Narayanan

Professor of Computer Science at Princeton; co-author of AI Snake Oil

PodcastInterconnectsOctober 2024

Interviewing Arvind Narayanan on making sense of AI hype

A working method for telling a real capability from a press release, from the AI Snake Oil co-author.

Emily M. Bender
Emily M. Bender

Linguist; co-author of "On the Dangers of Stochastic Parrots"

InterviewIEEE SpectrumJuly 2026

What Emily Bender Really Meant by "Stochastic Parrots"

She corrects what people think her famous paper said — worth reading before you quote it.

Margaret Mitchell
Margaret Mitchell

Chief Ethics Scientist at Hugging Face; lead author of Model Cards

Q&AHugging Face BlogMarch 2022

Machine Learning Experts — Margaret Mitchell

How an ethics team actually works inside a company, and where bias enters through the data.

Kate Crawford
Kate Crawford

Author of Atlas of AI; research professor at USC Annenberg

InterviewNew ScientistMarch 2021May need a subscription

Kate Crawford interview: How AI is exploiting people and the planet

The labor, minerals and electricity behind the software. New Scientist may ask you to subscribe.

Cathy O'Neil
Cathy O'Neil

Mathematician; author of Weapons of Math Destruction; founder of ORCAA

PodcastEconTalkOctober 2016

Cathy O'Neil on Weapons of Math Destruction

Older, and still the clearest explanation of how hiring and sentencing scores go wrong.

Abeba Birhane
Abeba Birhane

Cognitive scientist; founder of the AI Accountability Lab at Trinity College Dublin

ProfileAP NewsJuly 2024

AI industry is influencing the world. Mozilla adviser Abeba Birhane is challenging its core values

What she found when she audited the giant image datasets that picture generators were trained on.

Haben Girma
Haben Girma

Disability Rights Lawyer, Author

Q&ABrown Political ReviewMarch 2021

Advancing Disability Rights: An Interview with Haben Girma

Disability as a design problem rather than a personal one, from the first Deafblind Harvard Law graduate.

Adam Grant
Adam Grant

Organizational Psychologist, Wharton Professor

PodcastHuberman LabNovember 2023

Dr. Adam Grant: How to Unlock Your Potential, Motivation & Unique Abilities

Practical ground on motivation, feedback and procrastination — directly usable during a job search.

Marc Randolph
Marc Randolph

Netflix co-founder and serial entrepreneur

PodcastThe Tim Ferriss ShowFebruary 2021

Marc Randolph on Building Netflix, Battling Blockbuster, and Negotiating with Amazon

The unglamorous early version of a company everyone now thinks was obvious.

Jensen Huang
Jensen Huang

Co-founder, President and CEO of NVIDIA

PodcastLex Fridman PodcastMarch 2026

Jensen Huang: NVIDIA — the company, the AI revolution, and how he leads

Full transcript, so you can read it rather than sit through hours of audio.