People

The pioneers, researchers and builders whose ideas and decisions shaped AI. 154 entries live here, and 3 from other domains touch it.

Essential

Sam AltmanAn American entrepreneur who co-founded OpenAI and runs it; the company's 2022 release of ChatGPT turned him into one of the public faces of the AI era.
Dario AmodeiAn American AI researcher who co-founded Anthropic and is its chief executive, known for early work on scaling and AI safety and for forecasting very rapid AI progress.
Demis HassabisA British AI researcher and former chess prodigy who co-founded DeepMind, led the teams behind AlphaGo and AlphaFold, and shared the 2024 Nobel Prize in Chemistry.
Geoffrey HintonA British-Canadian scientist whose decades of persistent work on brain-inspired neural networks laid the foundations of modern AI; often called a 'godfather of AI', he now warns publicly about its dangers.
Jensen HuangThe Taiwanese-American co-founder and chief executive of Nvidia, whose graphics chips became the main engine for training and running modern AI.
Yann LeCunA French-American computer scientist who pioneered the neural networks that recognize images, led Meta's AI research for over a decade, and argues that chatbots alone will not reach human-level AI.
Elon MuskA South African-born American entrepreneur who runs Tesla and SpaceX, co-founded OpenAI, founded the AI company xAI, and has long warned that AI could endanger humanity.
Alan TuringA British mathematician who worked out what computers can do in principle, helped break German codes in the Second World War, and proposed the best-known test of machine intelligence.

All other entries

146

Pieter AbbeelA Belgian-American roboticist at Berkeley whose research taught robots to learn from demonstrations and from trial and error, and who co-founded the robotics company Covariant.
Shun-ichi AmariA Japanese mathematician who trained multilayer neural networks by gradient descent as early as 1967 and founded information geometry, the source of the 'natural gradient' method.
Leopold AschenbrennerA German-born former OpenAI researcher whose 2024 essay series 'Situational Awareness' predicted human-level AI around 2027 and a government-led race to build superintelligence.
Isaac AsimovA Russian-born American science-fiction writer and biochemist who invented the Three Laws of Robotics and is credited with the first use of the word 'robotics'.
Dzmitry BahdanauA Belarusian computer scientist who, as a student in Yoshua Bengio's lab in 2014, was lead author of the paper that introduced attention, the mechanism later at the core of the transformer.
Andrew BartoAn American computer scientist who, with his student Richard Sutton, laid the foundations of reinforcement learning, the study of how machines learn by trial and error from rewards.
Richard BellmanAn American mathematician who invented dynamic programming, a way of solving long chains of decisions step by step, which became the mathematical core of reinforcement learning.
Emily M. BenderAn American linguist who argues that language models only mimic the form of language without understanding it, and who co-coined the phrase 'stochastic parrots'.
Yoshua BengioA Canadian computer scientist who helped found deep learning, including ideas behind today's language models, and who has become a leading voice on the risks of advanced AI.
Ned BlockAn American philosopher who distinguished felt experience from information available for thinking, and who imagined a lookup-table machine to show that passing a conversation test need not mean intelligence.
Nick BostromA Swedish philosopher whose 2014 book 'Superintelligence' argued that AI smarter than humans could be catastrophic unless its goals are carefully controlled, and helped make AI risk a mainstream concern.
Leo BreimanAn American statistician who invented random forests and bagging, decision-tree methods still in wide use, and urged statisticians to judge models by how well they predict.
Greg BrockmanAn American engineer who helped start OpenAI in 2015 and became its president, after serving as the first technology chief of the payments company Stripe.
Rodney BrooksAn Australian-American roboticist who argued that intelligence grows out of acting in the world rather than abstract reasoning, and who co-founded the company behind the Roomba vacuum.
Erik BrynjolfssonAn American economist who studies how digital technology and AI change productivity and jobs, and who warns against AI built to replace people rather than to augment them.
Joy BuolamwiniA Canadian-American computer scientist and activist whose research showed that face-analysis software works far worse on darker-skinned women, and who founded the Algorithmic Justice League.
Karel ČapekA Czech writer whose 1920 play about artificial workers who rise up against their makers gave the world the word 'robot'.
David ChalmersAn Australian philosopher who named the 'hard problem' of consciousness — why physical processes feel like anything at all — and who asks whether AI systems could be conscious.
Kyunghyun ChoA South Korean computer scientist who co-invented the encoder–decoder approach to neural machine translation and the gated recurrent unit, and co-wrote the paper that introduced attention.
François CholletA French software engineer who created Keras, a popular tool for building neural networks, and the ARC benchmark, which tests whether AI can solve kinds of puzzles it has never seen.
Noam ChomskyAn American linguist whose theories of grammar reshaped linguistics and cognitive science, and who argues that chatbots like ChatGPT imitate language without understanding it.
Paul ChristianoAn American AI-alignment researcher who led the work that made training AI from human preferences practical, the basis of how chatbots are taught to be helpful.
Harold CohenA British-born painter who wrote AARON, a program that made its own drawings and paintings from the early 1970s, making him a pioneer of art produced by AI.
Ajeya CotraAn American AI researcher and forecaster whose 'biological anchors' report estimated when transformative AI might arrive, and who argued that standard training could produce deceptive AI.
Kate CrawfordAn Australian scholar who studies the social, political and environmental costs of AI, co-founded the AI Now Institute, and wrote 'Atlas of AI'.
Jeff DeanAn American computer scientist who built much of Google's computing infrastructure, co-founded the Google Brain deep-learning team and was Google's chief scientist before leaving in 2026 to co-found a startup.
Daniel DennettAn American philosopher who argued that minds are what brains do, that consciousness can in principle be explained scientifically, and that we understand machines by treating them as if they had beliefs and goals.
Hubert DreyfusAn American philosopher who argued from the 1960s that computers following explicit rules could never match human intelligence, which rests on bodily, intuitive know-how.
Cynthia DworkAn American computer scientist who co-invented differential privacy, the leading mathematical definition of privacy in data analysis, and helped found the study of fairness in algorithms.
Owain EvansA British AI-safety researcher who created the TruthfulQA test and discovered surprising ways language models generalize, such as narrow training making a model broadly malicious.
Edward FeigenbaumAn American computer scientist who pioneered expert systems, programs that capture specialists' knowledge as rules to solve problems in fields such as chemistry and medicine.
Chelsea FinnAn American computer scientist at Stanford known for 'learning to learn' methods that let AI adapt to new tasks from a few examples, and a co-founder of the robotics company Physical Intelligence.
Jerry FodorAn American philosopher who argued that thinking is computation in an inner 'language of thought', and that neural networks cannot explain the structured nature of thought.
Jerome FriedmanAn American statistician who invented gradient boosting, the method behind XGBoost and other leading tools for spreadsheet-style data, and co-wrote a standard machine-learning textbook.
Karl FristonA British neuroscientist who proposed that brains, and perhaps all living systems, work by constantly predicting their surroundings and acting to reduce surprise, an idea some see as a blueprint for AI.
Kunihiko FukushimaA Japanese engineer who in 1979 invented the neocognitron, a brain-inspired image-recognition network that was the direct ancestor of today's convolutional neural networks.
Timnit GebruAn Ethiopian-born American computer scientist who exposed racial and gender bias in AI systems, co-wrote the 'stochastic parrots' paper, and founded an independent AI research institute.
Ben GoertzelAn American AI researcher who made 'artificial general intelligence' a widely used name and built a research community around the goal of human-like, broadly capable AI.
I. J. GoodA British statistician who broke codes with Alan Turing and in 1965 argued that a machine smarter than us could design still smarter machines, setting off an 'intelligence explosion'.
Ian GoodfellowAn American computer scientist who invented generative adversarial networks, in which two neural networks compete to produce realistic fake images, and who pioneered research on fooling AI systems.
Robin HansonAn American economist who debated Eliezer Yudkowsky about whether AI would take off suddenly or gradually, and who imagined an economy run by digital copies of human minds.
Kaiming HeA Chinese computer scientist whose ResNet design, with shortcut connections that let networks grow hundreds of layers deep, is among the most cited research in all of science.
Donald HebbA Canadian psychologist who proposed in 1949 that connections between brain cells strengthen when the cells are active together, an idea behind many learning rules for neural networks.
Dan HendrycksAn American AI-safety researcher who created widely used AI tests such as MMLU and Humanity's Last Exam, and who runs the Center for AI Safety.
Sepp HochreiterA German computer scientist who explained why early neural networks struggled to learn long sequences and, with Jürgen Schmidhuber, invented the LSTM network that solved the problem.
Douglas HofstadterAn American cognitive scientist whose prize-winning book 'Gödel, Escher, Bach' inspired a generation to study minds and AI, and who studies analogy as the heart of thinking.
John HollandAn American scientist who invented genetic algorithms, which solve problems by breeding and mutating populations of candidate answers, and helped found the science of complex systems.
John HopfieldAn American physicist who showed in 1982 how a network of simple units can store and recall memories, and who shared the 2024 Nobel Prize in Physics for work that enabled machine learning.
Evan HubingerAn American AI-safety researcher who introduced the idea that a trained AI could secretly pursue goals of its own, and who builds deliberately misaligned AI models to study the risk.
Marcus HutterA German computer scientist who defined AIXI, a mathematical ideal of a perfectly intelligent agent, and who argues that compressing data well is a measure of intelligence.
Alexey IvakhnenkoA Soviet Ukrainian scientist who from 1965 built some of the first deep, many-layered learning networks, growing them layer by layer from data, decades before modern deep learning.
Frederick JelinekA Czech-born American engineer who led IBM's speech-recognition research and made statistics learned from data, rather than hand-written grammar rules, the basis of language technology.
Michael I. JordanAn American computer scientist and statistician who did much to bring probability and statistics into machine learning, and who trained many of the field's leaders.
John JumperAn American scientist who led Google DeepMind's AlphaFold project, which predicts the 3D shapes of proteins, and shared the 2024 Nobel Prize in Chemistry.
Daniel KahnemanAn Israeli-American psychologist who showed how human judgment systematically errs and popularized the idea of fast, intuitive versus slow, deliberate thinking, now used to describe AI reasoning.
Jared KaplanAn American physicist who showed that language models improve predictably as they grow and train on more data, and who co-founded the AI company Anthropic.
Andrej KarpathyA Slovak-Canadian AI researcher and teacher who co-founded OpenAI, led Tesla's self-driving vision team, and coined popular phrases such as 'vibe coding'.
Garry KasparovA Russian chess world champion whose 1997 loss to IBM's Deep Blue computer became the symbol of machines overtaking people, and who later championed humans and computers working together.
Koray KavukcuogluA Turkish-born computer scientist who co-authored many of DeepMind's landmark papers and in 2026 took charge of Google DeepMind as its senior vice president.
Diederik KingmaA Dutch computer scientist who co-invented the variational autoencoder and the Adam optimizer, two of the most widely used tools for training neural networks.
Teuvo KohonenA Finnish engineer who invented the self-organizing map, a neural network that arranges complex data on a simple grid so that similar items end up next to each other.
Daniel KokotajloAn American AI forecaster and former OpenAI researcher who led 'AI 2027', a detailed scenario of a race to superintelligence, and campaigns for transparency at AI companies.
Daphne KollerAn Israeli-American computer scientist who wrote the standard text on probabilistic reasoning in AI, co-founded the online-course company Coursera, and founded a machine-learning drug-discovery company.
Victoria KrakovnaAn AI-safety researcher at Google DeepMind who popularized 'specification gaming', AI systems meeting the letter of their goals but not the intent, and co-founded the Future of Life Institute.
Alex KrizhevskyA Canadian computer scientist who built AlexNet, the image-recognition network that was trained on gaming graphics chips and whose 2012 contest win launched the deep learning boom.
Ray KurzweilAn American inventor of reading machines and speech technology who became the best-known prophet of the 'singularity', predicting human-level AI by 2029.
Shane LeggA New Zealand-born AI researcher who co-founded DeepMind and helped make 'artificial general intelligence' a mainstream term and goal.
Jan LeikeA German AI-alignment researcher who helped develop training from human feedback, co-led OpenAI's superalignment team, and now leads alignment research at Anthropic.
Douglas LenatAn American computer scientist who spent four decades building Cyc, a giant hand-written database of everyday common sense meant to let computers reason like people.
Sergey LevineA Berkeley computer scientist, one of the most prolific researchers on how robots can learn skills from data and experience, and a co-founder of the robotics company Physical Intelligence.
Fei-Fei LiA Chinese-American computer scientist whose ImageNet project, millions of hand-labeled photos, gave deep learning the proving ground that launched its boom; she now champions 'human-centered' AI.
Percy LiangAn American computer scientist at Stanford whose center coined the term 'foundation model' and builds tools for evaluating and documenting large AI models.
Liang WenfengA Chinese entrepreneur who founded DeepSeek, whose low-cost, openly released AI models shocked global markets in January 2025.
J. C. R. LickliderAn American psychologist who envisioned people and computers working in close partnership, and whose US government funding built early AI research and the precursor of the internet.
Seppo LinnainmaaA Finnish computer scientist who in 1970 first published the method for computing all of a program's derivatives in one backward pass, the mathematical core of backpropagation.
Ada LovelaceA 19th-century English mathematician who published the first program written for a planned mechanical computer, and who argued that such a machine could only do what it was told.
Gary MarcusAn American cognitive scientist and leading critic of deep learning, who argues that today's AI cannot reason reliably and needs to be combined with symbolic methods.
John McCarthyThe American computer scientist who coined the term 'artificial intelligence', invented the Lisp programming language and championed formal logic as the route to machine common sense.
Warren McCullochAn American brain scientist who, with Walter Pitts, wrote the 1943 paper that first described nerve cells as simple logic units, the seed of today's artificial neural networks.
Donald MichieA British codebreaker turned AI pioneer who built a game-playing learning machine out of matchboxes and founded Edinburgh's influential machine-intelligence research group.
Tomas MikolovA Czech computer scientist who created word2vec, a fast way to turn words into lists of numbers that capture their meaning, and pioneered language models built from recurrent networks.
Marvin MinskyAn American AI pioneer who helped launch the field and MIT's AI laboratory, co-wrote a famous critique of early neural networks, and pictured the mind as a society of many simple parts.
Margaret MitchellAn American computer scientist who proposed 'model cards' for documenting AI systems, co-led Google's Ethical AI team, and is chief ethics scientist at Hugging Face.
Tom MitchellAn American computer scientist who wrote a classic machine-learning textbook with the field's most quoted definition of learning, and founded the first university department devoted to machine learning.
Volodymyr MnihA DeepMind researcher who led the 2013–2015 work in which one neural network learned to play dozens of Atari video games from screen pixels, launching deep reinforcement learning.
Ethan MollickAn American management professor at Wharton whose experiments and popular writing on how people use AI at work introduced ideas such as the 'jagged frontier'.
Hans MoravecAn Austrian-born roboticist who observed that skills humans find effortless, like seeing and moving, are the hardest for machines, and who forecast when computers would match the brain.
Mira MuratiAn Albanian-born American engineer who, as OpenAI's chief technology officer, oversaw the launch of ChatGPT, and who founded the AI company Thinking Machines Lab in 2025.
Thomas NagelAn American philosopher whose 1974 essay 'What Is It Like to Be a Bat?' defined consciousness as there being something it is like to be a creature, a test now applied to machines.
Neel NandaA British AI researcher who leads mechanistic interpretability at Google DeepMind and built TransformerLens, a widely used tool for looking inside language models.
Arvind NarayananAn Indian-American computer scientist at Princeton who studies AI's real-world effects and argues that AI is a 'normal technology' whose impact will unfold gradually.
Allen NewellAn American computer scientist who, with Herbert Simon, wrote early AI programs that solved problems the way people do, and who sought a single theory of how the mind works.
Andrew NgA British-born American computer scientist whose online courses have taught machine learning to millions; he also co-founded Google's deep learning team, Google Brain, and the online-course company Coursera.
Nils NilssonAn American computer scientist who co-created the A* search algorithm and the STRIPS planner for Shakey, the first robot to plan its own moves by reasoning, and wrote standard AI textbooks.
Peter NorvigAn American computer scientist who co-wrote the standard AI textbook, led research at Google, and helped show that simple methods trained on huge amounts of data often beat clever hand-built ones.
Chris OlahA Canadian researcher who pioneered ways of looking inside neural networks to see what they have learned, and a co-founder of the AI company Anthropic.
Steve OmohundroAn American computer scientist who argued in 2008 that almost any sufficiently advanced AI would tend to protect itself and seek resources, unless deliberately designed not to.
Toby OrdAn Australian philosopher at Oxford who helped found effective altruism and estimated, in his book 'The Precipice', that unaligned AI is the largest threat to humanity's future this century.
Seymour PapertA South African-born mathematician who co-wrote 'Perceptrons', a critique of early neural networks, with Marvin Minsky, and invented the children's programming language Logo.
Judea PearlAn Israeli-American computer scientist who gave AI the mathematics for reasoning under uncertainty and, later, for telling cause and effect apart from mere correlation.
Roger PenroseA British mathematical physicist and Nobel laureate who argues that human understanding is not computational, so that no computer, however powerful, could truly think like a mathematician.
Walter PittsA largely self-taught American logician who, at about 20 and without a degree, co-invented with Warren McCulloch a simple logical model of a brain cell, the starting point of neural networks.
Ross QuinlanAn Australian computer scientist who created ID3 and C4.5, influential programs that learn decision trees, flowchart-like rules for classifying examples.
Alec RadfordAn American AI researcher who led OpenAI's first GPT language models and its CLIP and Whisper systems, key steps toward today's chatbots and multimodal AI.
Raj ReddyAn Indian-American computer scientist who pioneered computer speech recognition and large AI systems at Carnegie Mellon University, and shared the 1994 Turing Award.
Frank RosenblattAn American psychologist who invented the perceptron, the first neural network that learned from examples, and built a machine that learned to recognize simple images.
David RumelhartAn American psychologist who, with Geoffrey Hinton and Ronald Williams, showed in 1986 how to train multilayer neural networks, launching the modern revival of the field.
Stuart RussellA British computer scientist who co-wrote the standard AI textbook and argues that AI must be redesigned to stay uncertain about what humans want, so that it remains under human control.
Arthur SamuelAn American IBM engineer whose checkers program improved by playing against itself, and whose 1959 paper helped make 'machine learning' the name of a field.
Jürgen SchmidhuberA German computer scientist who co-invented the LSTM, a neural network with memory that powered much of speech recognition and translation in the 2010s, and who argues that early pioneers go under-credited.
John SchulmanAn American AI researcher who invented widely used reinforcement-learning algorithms such as PPO, co-founded OpenAI, and led the post-training work behind ChatGPT.
John SearleAn American philosopher who devised the Chinese room argument, which holds that a computer running a program can manipulate symbols without understanding anything.
Terry SejnowskiAn American neuroscientist who co-invented the Boltzmann machine with Geoffrey Hinton, built an early network that learned to read aloud, and helped found the NeurIPS conference community.
Oliver SelfridgeA British-born American computer scientist who pioneered teaching machines to recognize patterns; his 1959 'Pandemonium' model did it through layers of simple, competing detectors.
Claude ShannonAn American engineer and mathematician who invented information theory, the mathematics of bits and communication, and wrote one of the first plans for a chess-playing computer.
Noam ShazeerAn American computer scientist who co-invented the transformer and several techniques found in nearly every large language model, co-founded Character.AI, and later returned to Google to co-lead Gemini.
Buck ShlegerisAn AI-safety researcher who runs Redwood Research and helped found 'AI control', the study of keeping powerful AI safe even if it is secretly trying to cause harm.
David SilverA British computer scientist who led the reinforcement-learning research behind AlphaGo and AlphaZero, programs that taught themselves to play board games better than any human.
Herbert A. SimonAn American scientist of decision-making who, with Allen Newell, wrote some of the first AI programs and argued that minds and computers both think by manipulating symbols.
Jascha Sohl-DicksteinAn American scientist who in 2015, with colleagues, introduced diffusion models, the technique behind most modern AI image and video generators, by borrowing ideas from physics.
Ray SolomonoffAn American mathematician who worked out an ideal mathematical recipe for predicting what comes next from past data, and who attended the 1956 meeting that launched AI.
Mustafa SuleymanA British entrepreneur who co-founded DeepMind and Inflection AI, leads Microsoft's effort to build its own advanced AI models, and has written about the difficulty of containing powerful AI.
Ilya SutskeverA Russian-born Israeli-Canadian computer scientist who co-built the AlexNet image recognizer, helped found OpenAI and lead its research until 2024, and now heads the startup Safe Superintelligence Inc.
Richard SuttonA Canadian computer scientist who, with Andrew Barto, laid the groundwork for teaching machines by trial, error and reward, and whose essay 'The Bitter Lesson' argues that methods that scale with computing power always win.
Max TegmarkA Swedish-American physicist at MIT who co-founded the Future of Life Institute, which organized the 2023 open letter calling for a pause in training the most powerful AI systems.
Gerald TesauroAn American IBM researcher whose program TD-Gammon learned backgammon purely by playing against itself and by the early 1990s rivaled the best human players, a landmark for machines that learn by trial and error.
Sebastian ThrunA German-American roboticist who led the Stanford team that won the 2005 desert race for self-driving cars, started Google's self-driving car project, and founded the online-learning company Udacity.
Giulio TononiAn Italian-American neuroscientist who created integrated information theory, which measures consciousness by how unified a system's internal causes are, and which implies ordinary computers are not conscious.
Jakob UszkoreitA German computer scientist, one of the eight authors of the transformer paper, credited with first proposing to build language models on attention alone.
Leslie ValiantA British computer scientist who in 1984 gave the first rigorous definition of what it means for a computer to learn from examples, founding the theory of machine learning.
Vladimir VapnikA Soviet-born American mathematician who built the statistical theory of how machines learn from examples and co-invented support vector machines, a leading method before deep learning.
Ashish VaswaniAn Indian-born computer scientist listed first on 'Attention Is All You Need', the 2017 paper that introduced the transformer, the design behind today's language models.
Vernor VingeAn American science-fiction author and mathematics professor who popularized the 'technological singularity': a coming point when smarter-than-human minds change the world so fast that no one can foresee what follows.
Oriol VinyalsA Spanish computer scientist who co-created key neural methods for translation and image captioning, led DeepMind's StarCraft-playing AlphaStar, co-led Google's Gemini models, and in 2026 co-founded the startup Discovery Loop.
John von NeumannA Hungarian-American mathematician who shaped the design of modern computers, co-founded game theory, and is the first person known to have spoken of a coming technological 'singularity'.
Alexandr WangAn American entrepreneur who founded Scale AI, a major supplier of human-labeled data for training AI, and became Meta's chief AI officer in 2025.
Chris WatkinsA British computer scientist who invented Q-learning in 1989, a simple way for an agent to learn which action is best in each situation purely from trial and error.
Joseph WeizenbaumA German-American computer scientist who built ELIZA, one of the first chatbots, and then became a leading critic of handing human judgment over to computers.
Paul WerbosAn American scientist whose 1974 doctoral thesis set out backpropagation, the method of passing errors backward that now trains nearly all neural networks.
Bernard WidrowAn American electrical engineer who in 1960 built ADALINE, an early trainable neural unit, and invented a learning rule that adjusts weights to reduce errors, still at the heart of adaptive filters.
Norbert WienerAn American mathematician who founded cybernetics, the study of feedback and control in animals and machines, and warned early that machines might pursue goals we did not truly intend.
Simon WillisonA British programmer and blogger, co-creator of the Django web framework, whose widely read writing on language models coined 'prompt injection' and the 'lethal trifecta'.
Terry WinogradAn American computer scientist who built SHRDLU, a celebrated early program that conversed in English about a world of blocks, and later became a critic of symbolic AI.
Eliezer YudkowskyAn American writer and AI theorist who, from around 2000, argued that superhuman AI would likely destroy humanity unless its goals were made safe, and who founded an online community devoted to rational thinking.
Lotfi ZadehAn Azerbaijani-born American engineer who invented fuzzy logic, which lets computers reason with vague categories such as 'warm' or 'tall' that are true only to a degree.
Mark ZuckerbergThe American co-founder and chief executive of Facebook's parent company Meta, who made it a major AI developer that released its Llama models for anyone to download.

Also relevant

godfathers of AIA media nickname for three scientists — Geoffrey Hinton, Yoshua Bengio and Yann LeCun — whose decades of work on neural networks underpins modern AI. They shared computing's top prize in 2019.
Nobel Prizes for AIThe two 2024 Nobel Prizes, in physics and chemistry, that honored artificial intelligence research for the first time, recognizing neural-network pioneers and the protein-structure system AlphaFold.
Turing AwardNicknamed the 'Nobel Prize of computing', the top honor in computer science, awarded each year since 1966 by the Association for Computing Machinery. Several AI pioneers have received it.