Measuring Biological Capabilities and Risks of AI Agents: Generating and Interpreting Evidence from Agentic Evaluations

RAND Corporation eBooks 2026 Book

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Authors: Patricia Paskov, Jeffrey Lee, Kyle Brady, Alyssa M. Worland
DOI: 10.7249/pea4710-1
Cited by: 0

Abstract

This perspective examines biological agentic evaluations as an emerging tool for assessing the capabilities and risks of autonomous AI systems in biological contexts. Drawing on hands-on evaluation experience, it offers practical guidance on defining, designing, running, scoring, and interpreting evaluations, highlighting how design choices shape conclusions and policy relevance.

Fields of Study & Subjects

Ethics and Social Impacts of AI Evaluation and Performance Assessment Artificial Intelligence in Healthcare and Education

Publication details

Journal / source
RAND Corporation eBooks
Publication date
1 January 2026
Language
EN
Document type
Book