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This paper reviews existing benchmarks and evaluation approaches for AI agents in biological and biomedical research. An examination of reported benchmark results highlights persistent limitations in agents' ability to perform complex scientific tasks accurately and reliably. The paper also explores the architectural and operational characteristics of these systems, focusing on how interactions between interconnected components can introduce additional challenges for their evaluation. Furthermore, it reviews the literature on AI agent security and discusses potential vulnerabilities that may compromise the integrity and reliability of agent workflows. Finally, the paper identifies current limitations and outlines future research directions for developing more reliable, secure, and scientifically capable AI agents for biological research.
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Mehrak Malekpour Alamdari (2026) studied this question.
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