Scalable Auditing for AI Safety
Erik Jones [2025]

Towards Building Safe and Robust Human AI Systems
Zhiyang He [2024]

Aligning Robot Representations with Humans
Andreea Bobu [2023]

Bridging Safety and Learning in Human-Robot Interaction
Andrea Bajcsy [2022]

Building Assistive Sensorimotor Interfaces through Human-in-the-Loop Machine Learning
Siddharth Reddy [2022]

Learning Objective Functions from Many Diverse Signals
Smitha Milli [2022]

Learning when Objectives are Hard to Specify
Kush Bhatia [2022]

Robot Planning and Execution with Unreliable Models
Ellis Ratner [2022]

The Principal-Agent Alignment Problem in Artificial Intelligence
Dylan Hadfield-Menell [2021]

Extracting and Using Preference Information from the State of the World
Rohin Shah [2020]

Game-Theoretic Safety Assurance for Human-Centered Robotic Systems
Jaime Fernandez-Fisac [2019]

Optimizing for Robot Transparency
Sandy Huang [2019]