activity
20232026
most citedSociotechnical Safety Evaluation of Generative AI Systems

44 citations · 44 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CY2026

What if automating AI R&D triggers an intelligence explosion?

Alan Chan, Christoph Winter, Andrew Barto +19

In contrast to even a year ago, AI systems now write most of the code inside the companies that build them. As more of the AI research and development (R&D) pipeline is automated,…

cs.CR2026

Securing Multi-Tool AI Agent Chains With Dynamic, Real-Time Compositional Policies

Chris Schneider, Kriti Faujdar, Philipp Schoenegger +1

Modern AI agent implementations such as frontier coding agents chain multiple tools at runtime that create a security surface that per-tool guardrails are unable to address, as ind…

cs.AI2026

Separable Expert Architecture: Toward Privacy-Preserving LLM Personalization via Composable Adapters and Deletable User Proxies

Chris Schneider, Philipp Schoenegger, Ben Bariach

Current model training approaches incorporate user information directly into shared weights, making individual data removal computationally infeasible without retraining. This pape…

cs.CY2024

Towards a Harms Taxonomy of AI Likeness Generation

Ben Bariach, Bernie Hogan, Keegan McBride

Generative artificial intelligence models, when trained on a sufficient number of a person's images, can replicate their identifying features in a photorealistic manner. We refer t…

cs.AI2023★ 44 cited

Sociotechnical Safety Evaluation of Generative AI Systems

Laura Weidinger, Maribeth Rauh, Nahema Marchal +10

Generative AI systems produce a range of risks. To ensure the safety of generative AI systems, these risks must be evaluated. In this paper, we make two main contributions toward e…