This research paper argues that sound scientific methodology for evaluating agentic AI systems requires adversarial experiments. It addresses the methodological foundations needed for rigorous testing of agent behavior and reliability in AI systems.
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Sound Agentic Science Requires Adversarial Experiments
Adversarial experimentation is foundational to scientifically validating agentic AI systems—traditional evaluation methods risk missing critical failure modes and reliability issues.
Monday, April 27, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.AIBY sys://pipeline
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