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Showing items 1 to3 of 6

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“Situational Awareness” Makes Measuring Safety Tricky

Ajeya Cotra

February 26, 2023

2023

flexHEG

David A. Dalrymple (davidad)

February 8, 2025

2025

[Fireside Chat] White-box Methods for AI Control

Neel Nanda

March 27, 2025

2025

[Fireside Chat] Control & Computer Security

Steve Kelly

March 28, 2025

2025

Your RLHF fine-tuning is Secretly Applying a Regret Preference

Brad Knox

December 9, 2023

2023

Your DPO Algorithm is Secretly a Misspecified Reward Estimator

Aditya Gopalan

April 23, 2025

2025

You Should Work on Agent Infrastructure

Alan Chan

April 22, 2025

2025

Will Scaling Solve Robustness?

Adam Gleave

October 25, 2024

2024

Why Language Models Hallucinate

Santosh Vempala

December 1, 2025

2025

What are Human Values, and How Do We Align AI to Them?

Oliver Klingefjord

July 20, 2024

2024

What Would it Take to Stop the Development of Superintelligence? A Treaty Proposal

Aaron Scher

August 26, 2025

2025

What Does It Mean for Agentic AI to Preserve Privacy?

Niloofar Mireshghallah

December 1, 2025

2025

What (and Why) is a Linear Representation?

Victor Veitch

December 9, 2023

2023

Weak-to-Strong Generalization

Collin Burns

December 9, 2023

2023

Verification & Confidence Building for International Coordination

Peter Barnett

July 23, 2024

2024

Verifiable Compute & Building Trust in Agentic Supply Chains

Tina Morrison

May 31, 2025

2025

Value Pluralism and AI Value Alignment

Atoosa Kasirzadeh

October 23, 2024

2024

Value Compass Leaderboard: Platform for LLMs’ Value Evaluation

Xiaoyuan Yi

April 22, 2025

2025

Using Formal Languages

Sheila McIlraith

October 23, 2024

2024

Unthinking Vulnerability of Large Reasoning Models

Baoyuan Wu

April 23, 2025

2025

Unresolved Debates on the Future of AI

Helen Toner

May 30, 2025

2025

Unified Explanation of DNN Inference Logic & Representation

Huiqi Deng

April 22, 2025

2025

Understanding Planning in Neural Networks

Adrià Garriga-Alonso

December 9, 2023

2023

Toy Models for Task-Horizon Scaling

Cozmin Ududec

December 1, 2025

2025

Towards Reliable Alignment: Uncertainty-Aware RLHF

Aditya Gopalan

July 20, 2024

2024

Towards Quantitative Safety Guarantees and Alignment

Yoshua Bengio

December 10, 2023

2023

Toward Scalable and Actionable Interpretability

Yonatan Belinkov

November 30, 2025

2025

Threat Analysis to Identify Priorities

Francesca Gomez

March 26, 2025

2025

Third-Party Evals: Learnings from Harmony Intelligence

Soroush Pour

October 24, 2024

2024

Theories and Tools for Mechanistic Interpretability via Causal Abstraction

Atticus Geiger

December 9, 2023

2023

The White House AI Action Plan

Mark Brakel

April 22, 2025

2025

The State and the Science of AI-Bio Evals

Bryce Cai

December 1, 2025

2025

The Role of AISIs in AI Governance

Rob Reich

March 11, 2025

2025

The Quantization Model of Neural Scaling

Eric J. Michaud

December 9, 2023

2023

The Impossibility of (Strong) Watermarking

Boaz Barak

December 9, 2023

2023

The EU Code of Practice: Towards a Global Standard for Frontier AI Risk Management

Siméon Campos

August 19, 2025

2025

The Challenge of Monitoring Covert Interactions and Behavioral Shifts in LLM Agents

Dimitris Papailiopoulos

December 9, 2023

2023

The AI Security Landscape

Sella Nevo

February 8, 2025

2025

The (Un)Reliability of Chain-of-Thought Reasoning

Chirag Agarwal

October 23, 2024

2024

Task Decomposition for AI Control

Aaron Sandoval

March 27, 2025

2025

Targeted Manipulation & Deception

Micah Carroll

October 25, 2024

2024

Tamper-Resistant Safeguards for Open-Weight LLMs

Mantas Mazeika

October 23, 2024

2024

System Two Safety

Shane Legg

December 9, 2023

2023

Surveying Safety Research Directions

Dan Hendrycks

February 26, 2023

2023

Supervising AI on Hard Tasks

Jan Leike

February 26, 2023

2023

Subversion Strategy Evaluation

Charlie Griffin

March 28, 2025

2025

Studying LLM Generalization through Influence Functions

Roger Grosse

December 9, 2023

2023

Stress-Testing Capability Elicitation

Dmitrii Krasheninnikov

July 20, 2024

2024

State of Jailbreaks

Xander Davies

December 1, 2025

2025

State of Interpretability & Ideas for Scaling Up

Atticus Geiger

October 25, 2024

2024

Some Lessons from Adversarial Machine Learning

Nicholas Carlini

July 20, 2024

2024

Sociotechnical AI safety

David Krueger

December 9, 2023

2023

Sleeper Agents

Ethan Perez

February 14, 2024

2024

Singular Learning Theory and AI Safety

Jesse Hoogland

September 16, 2025

2025

Simplex

Multiple Speakers

June 25, 2024

2024

Set Laws AI Must Prove It's Following

Evan Miyazono

February 8, 2025

2025

Security: Datacenter & Model Weight

Lisa Thiergart

May 30, 2025

2025

Security for AI with Confidential Computing

Mike Bursell

February 9, 2025

2025

Secret Collusion Among Generative AI Agents

Christian Schroeder de Witt

December 9, 2023

2023

Scaling Reinforcement Learning from Human Feedback

Jan Leike

July 20, 2024

2024

Scaling Alignment Research via Safety Cases

Jacob Pfau

April 23, 2025

2025

Scalable Oversight: A Rater Assist Approach

Sophie Bridgers

July 20, 2024

2024

Scalable Oversight and Understanding

Sarah Schwettmann

November 30, 2025

2025

Sandpaper Socks: Operational Considerations in AI Evals

Olivia Shoemaker

May 31, 2025

2025

San Diego Alignment Workshop 2025 Opening Remarks

Adam Gleave

November 30, 2025

2025

Safety Benchmarking & Testing of Multimodal LLMs

Tianwei Zhang

April 22, 2025

2025

Safety Alignment of LLMs

Animesh Mukherjee

April 22, 2025

2025

Safeguards in 2025+

Xander Davies

February 8, 2025

2025

STPA & AI Control

Simon Mylius

March 27, 2025

2025

STAIR: Improving Safety Alignment with Introspective Reasoning

Yinpeng Dong

April 22, 2025

2025

Rising Cost of Evaluations, Falling Cost of Intelligence

Ben Cottier

May 31, 2025

2025

Resilience and Interpretability

David Bau

July 20, 2024

2024

Research Proposal: The Three-Layer Paradigm

Zhaowei Zhang

July 20, 2024

2024

Regulation of Frontier Models, Confidential Computing & AI Alignment

Bill Foster

May 31, 2025

2025

Reframing AGI Threat Models

Richard Ngo

October 24, 2024

2024

Realigning AI

Zhijing Jin

June 17, 2025

2025

Provably Safe AI

Max Tegmark

November 30, 2025

2025

Provably Safe AI

Max Tegmark

December 9, 2023

2023

Privacy and Security Challenges in AI Agents

Kamalika Chaudhuri

December 1, 2025

2025

Prioritizing Technical Governance Investments: Verification

Robert Trager

May 31, 2025

2025

Preparedness @ OpenAl

Aleksander Madry

December 9, 2023

2023

Preference Learning in Alignment

Dylan Hadfield-Menell

December 9, 2023

2023

Powering up AI Capability Evaluations with Model Tampering Attacks

Stephen Casper

April 22, 2025

2025

Powering Up Capability Evaluations

Stephen Casper

October 23, 2024

2024

Powerful Open-Weight AI Models: Wonderful, Terrible & Inevitable

Stephen Casper

November 30, 2025

2025

Policy-Oriented AI Evaluations

Kevin Wei

May 31, 2025

2025

Polarity-Aware Probing for Quantifying Latent Alignment in LMs

Chirag Agarwal

November 30, 2025

2025

Plan B: Training LLMs to fail less severely

Julian Stastny

February 4, 2025

2025

Persuade AIs

Weiyan Shi

April 22, 2025

2025

Peril and Potentials of Training with Lie Detectors

Chris Cundy

December 1, 2025

2025

Paradigms and Robustness

Alex Wei

October 25, 2024

2024

Out of Context Reasoning in LLMs

Owain Evans

December 9, 2023

2023

Our Pivot To Pragmatic Interpretability

Neel Nanda

December 1, 2025

2025

Optimized Misalignment

Anca Dragan

December 9, 2023

2023

Optimization around Control: Lessons from MONA

Sebastian Farquhar

March 26, 2025

2025

Opening Remarks: Confronting the Possibility of AGI

Ilya Sutskever

February 26, 2023

2023

Open Problems in Technical AI Governance

Ben Bucknall

July 20, 2024

2024

Normal Policy Tools for a Normal Technology

Asad Ramzanali

May 31, 2025

2025

Next Steps for Control Safety Cases

Martín Soto

April 23, 2025

2025

National Security & Defense

Steve Kelly

May 31, 2025

2025

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