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Results 1

Showing items 1 to3 of 6

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Provably Safe AI

Max Tegmark

•

December 9, 2023

Governance & Policy

Alignment Workshop

2023

Preparedness @ OpenAl

Aleksander Madry

•

December 9, 2023

Evaluations & Red-Teaming

Alignment Workshop

2023

Preference Learning in Alignment

Dylan Hadfield-Menell

•

December 9, 2023

Alignment Foundations

Alignment Workshop

2023

Out of Context Reasoning in LLMs

Owain Evans

•

December 9, 2023

Science of Deep Learning

Alignment Workshop

2023

Optimized Misalignment

Anca Dragan

•

December 9, 2023

Alignment Foundations

Alignment Workshop

2023

Multi-Agent Risks from Advanced AI

Lewis Hammond

•

December 9, 2023

AI, Society & Values

Alignment Workshop

2023

Mechanistic Interpretability of In-Context Learning

Johannes von Oswald

•

December 9, 2023

Interpretability

Alignment Workshop

2023

Keeping Humans in the Loop

John Schulman

•

December 9, 2023

Alignment Foundations

Alignment Workshop

2023

Heuristic Arguments: An Approach to Detecting Anomalous Model

Eric Neyman

•

December 9, 2023

Science of Deep Learning

Alignment Workshop

2023

Foundations of Cooperative AI

Vincent Conitzer

•

December 9, 2023

AI, Society & Values

Alignment Workshop

2023

Epistemic Side Effects

Sheila McIlraith

•

December 9, 2023

Alignment Foundations

Alignment Workshop

2023

Emergence of Complex Skills in LLMs

Sanjeev Arora

•

December 9, 2023

Science of Deep Learning

Alignment Workshop

2023

Complex Systems View of Large-Scale AI systems

Irina Rish

•

December 9, 2023

Science of Deep Learning

Alignment Workshop

2023

Cognitive Dissonance: Why do Language Model Outputs Disagree with Internal Representations of Truthfulness?

Stephen Casper

•

December 9, 2023

Interpretability

Alignment Workshop

2023

Building an Off Switch for AI

Gillian Hadfield

•

December 9, 2023

Governance & Policy

Alignment Workshop

2023

Alignment and Interpretability: How We Might Get It Right

Been Kim

•

December 9, 2023

Interpretability

Alignment Workshop

2023

Adversarial Scalable Oversight for Truthfulness

Samuel Bowman

•

December 9, 2023

AI Control & Oversight

Alignment Workshop

2023

Adversarial Examples Transfer from Machines to Humans

Jascha Sohl-Dickstein

•

December 9, 2023

Evaluations & Red-Teaming

Alignment Workshop

2023

Adversarial Attacks on Aligned Language Models

Zico Kolter

•

December 9, 2023

Evaluations & Red-Teaming

Alignment Workshop

2023

AI Safety by Debate via Regret Minimization

Elad Hazan

•

December 9, 2023

AI Control & Oversight

Alignment Workshop

2023

AGI Safety: Risks and Research Directions

Adam Gleave

•

December 9, 2023

Superintelligence & Frontier Risk

Alignment Workshop

2023

Lightning Talks (Day 2)

Multiple Speakers

•

February 27, 2023

Alignment Foundations

Alignment Workshop

2023

“Situational Awareness” Makes Measuring Safety Tricky

Ajeya Cotra

•

February 26, 2023

Deception

Alignment Workshop

2023

Surveying Safety Research Directions

Dan Hendrycks

•

February 26, 2023

Superintelligence & Frontier Risk

Alignment Workshop

2023

Supervising AI on Hard Tasks

Jan Leike

•

February 26, 2023

Alignment Foundations

Alignment Workshop

2023

Opening Remarks: Confronting the Possibility of AGI

Ilya Sutskever

•

February 26, 2023

Superintelligence & Frontier Risk

Alignment Workshop

2023

Looking Inside Neural Networks with Mechanistic Interpretability

Chris Olah

•

February 26, 2023

Interpretability

Alignment Workshop

2023

Lightning Talks (Day 1)

Multiple Speakers

•

February 26, 2023

Alignment Foundations

Alignment Workshop

2023

How Misalignment Could Lead to Takeover

Paul Christiano

•

February 26, 2023

Superintelligence & Frontier Risk

Alignment Workshop

2023

Aligning Massive Models: Current and Future Challenges

Jacob Steinhardt

•

February 26, 2023

Alignment Foundations

Alignment Workshop

2023

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