Vienna Alignment Workshop

Vienna, Austria

•

July 21, 2024
Date Range

Program Committee

Mary Phuong

Research Scientist

Google DeepMind

Nitarshan Rajkumar

Co-founder

UK AISI

Robert Trager

Co-Director

Oxford Martin AI Governance Initiative

Adam Gleave

Co-founder & CEO

FAR.AI

Brad Knox

Research Associate Professor

UT Austin

Overview

Held around ICML 2024, the Vienna Alignment Workshop brought together researchers and leaders from around the world together to debate and discuss current issues in AI safety, including topics within Guaranteed Safe AI & Robustness, Interpretability, and Governance & Evaluations.

The Alignment Workshop series brings together top machine learning researchers and practitioners from industry, academia, and government. The workshop focuses on discussing and debating critical topics related to AI alignment, enabling participants to better understand potential risks from advanced AI, and strategies for solving them. Key issues discussed include model evaluations, interpretability, robustness, and AI governance.

Vienna Alignment Workshop sessions

Generalized Adversarial Training and Testing

Stephen Casper

•

October 25, 2024

2024

Current Issues in AI Safety

Multiple Speakers

•

July 20, 2024

2024

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

Oliver Klingefjord

•

July 20, 2024

2024

Towards Reliable Alignment: Uncertainty-Aware RLHF

Aditya Gopalan

•

July 20, 2024

2024

Stress-Testing Capability Elicitation

Dmitrii Krasheninnikov

•

July 20, 2024

2024

Lessons from 10 Years of Adversarial Machine Learning

Nicholas Carlini

•

July 20, 2024

2024

Scaling Reinforcement Learning from Human Feedback

Jan Leike

•

July 20, 2024

2024

Scalable Oversight: A Rater Assist Approach

Sophie Bridgers

•

July 20, 2024

2024

Resilience and Interpretability

David Bau

•

July 20, 2024

2024

Research Proposal: The Three-Layer Paradigm

Zhaowei Zhang

•

July 20, 2024

2024

Open Problems in Technical AI Governance

Ben Bucknall

•

July 20, 2024

2024

Mechanistic Interpretability: A Whirlwind Tour

Neel Nanda

•

July 20, 2024

2024

Measuring and Improving Human Agency in a World of AI Agents

Alex Tamkin

•

July 20, 2024

2024

Governance for Advanced General-Purpose AI

Helen Toner

•

July 20, 2024

2024

Game Theory and Social Choice for Cooperative AI

Vincent Conitzer

•

July 20, 2024

2024

Dangerous Capability Evals: Basis for Frontier Safety

Mary Phuong

•

July 20, 2024

2024

Challenges With Unsupervised LLM Knowledge Discovery

Vikrant Varma

•

July 20, 2024

2024

AI: What If We Succeed?

Stuart Russell

•

July 20, 2024

2024