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Geoffrey Hinton

Also known as: Geoff Hinton, Godfather of Deep Learning

Godfather of deep learning; pioneer of backpropagation, Boltzmann machines, and deep neural networks; Nobel Prize in Physics 2024; Turing Award 2018

Current Role
Professor Emeritus
Organization
University of Toronto
Born
1947
Age ~79

Expert Positions2 topics

TopicViewEstimateConfidenceDateSource
P(doom)Moderate-high10-20%mediumMay 2023Public statements (2023)
AGI TimelinesShort5-20 yearsmediumMay 2023Post-resignation interviews (2023)

Policy Positions1 policy

PolicyPositionStatusReason
Safe and Secure Innovation for Frontier Artificial Intelligence Models ActsupportvetoedCo-authored August 7, 2024 expert letter calling SB 1047 a 'very sensible approach'; stated 'it's critical that we have legislation with real teeth to address the risks' and endorsed the AI employee support letter

Education

PhD in Artificial Intelligence, University of Edinburgh (1978); BA in Experimental Psychology, Cambridge University

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Overview

Geoffrey Hinton is widely recognized as one of the "Godfathers of AI" for his foundational contributions to neural networks and deep learning. In May 2023, he made global headlines by leaving Google to speak freely about AI risks, stating a 10–20% probability of AI causing human extinction within 5-20 years.

Hinton's advocacy carries unique weight due to his role in creating modern AI. His 2012 AlexNet breakthrough with student Alex Krizhevsky ignited the current AI revolution, leading to today's large language models. His shift from AI optimist to vocal safety advocate represents one of the most significant expert opinion changes in the field, influencing public discourse and policy discussions worldwide.

His current focus emphasizes honest uncertainty about solutions while advocating for slower AI development and international coordination. Unlike many safety researchers, Hinton explicitly admits he doesn't know how to solve alignment problems, making his warnings particularly credible to policymakers and the public.

Risk Assessment

FactorAssessmentEvidenceTimeline
Extinction Risk10–20% probabilityHinton's public estimate5-20 years
Job DisplacementVery HighEconomic disruption inevitable2-10 years
Autonomous WeaponsCritical concernAI-powered weapons development1-5 years
Loss of ControlHigh uncertaintySystems already exceed understandingOngoing
Capability Growth RateFaster than expectedProgress exceeded predictionsAccelerating

Links

References

Facts

9
People
Role / TitleProfessor Emeritus
General
Websitehttps://www.cs.toronto.edu/~hinton/
Biographical
Wikipediahttps://en.wikipedia.org/wiki/Geoffrey_Hinton
Google Scholarhttps://scholar.google.com/citations?user=JicYPdAAAAAJ
EducationPhD in Artificial Intelligence, University of Edinburgh (1978); BA in Experimental Psychology, Cambridge University
Notable ForGodfather of deep learning; pioneer of backpropagation, Boltzmann machines, and deep neural networks; Nobel Prize in Physics 2024; Turing Award 2018
Social Media@geoffreyhinton
Birth Year1947