arXiv AI

A Diagnostic Framework for AI Agent Behavior

arXiv:2607. 17149v1 Announce Type: new Abstract: AI agents increasingly act within the same clinical, political, scientific, and social systems that behavioral scientists study.

arXiv AI
Jun 19

Measuring Biological Capabilities and Risks of AI Agents

arXiv:2606. 19899v1 Announce Type: cross Abstract: This paper addresses a rapidly emerging policy challenge: how to generate and interpret credible evidence about the biological capabilities and risks of AI scientists, or agentic AI systems capable of autonomously or collaboratively performing multi-step scientific tasks.

By Patricia Paskov, Jeffrey Lee, Kyle Brady, Alyssa Worland
arXiv Machine Learning
Aug 4

From Information to Delegation: Mapping Human-AI Financial Decision Making

arXiv:2608. 02100v1 Announce Type: cross Abstract: As AI increasingly participates in human decision making, understanding how decision-making authority is distributed between humans and AI has become a fundamental behavioural question.

By Iman Munire Bilal, Yingcan Carol Wang, Ajan Raj, Filippo Giovagnini, Pranav Tewari, Yuwei Zhang, Mei-Chen Zoe Liou, Qamar Zaman
arXiv AI
1d ago

ETHOS: Towards a Modular Ethics Framework for Clinical Multi-Agent Systems

arXiv:2608. 15424v1 Announce Type: cross Abstract: The rapid adoption of large language models has enabled the development of clinical multi-agent systems (MAS) capable of integrating multimodal patient data and supporting increasingly complex clinical decision-making.

By Rakesh Sharma, Sydney Pugh, Cameron Beeche, Pankhuri Singhal, Rachel Wu, Margaret Eby, Jeffrey Duda, James Gee, Kyra O'Brien, Hersh Sagreiya, Marina Serper, Victoria Gershuni, Angela Bradbury, Anurag Verma, Eric Eaton, Kevin B. Johnson, Walter Witschey