Position: Behavioral Systems Require Behavioral Tests
Why the future of AI evaluation requires a shift from performance benchmarks to rigorous behavioral observation.
Artificial agentic systems increasingly operate as behavioral systems by interacting with dynamic environments, pursuing goals, and adapting over time. Yet, current evaluation methods largely focus on performance outcomes, not the underlying behavioral processes that produce them...
ArXiv CS.AI
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Shifting from outcome-based metrics to behavioral analysis is essential for understanding how autonomous agents make decisions in complex, real-world environments. By adopting methodologies from the behavioral sciences, researchers can move beyond black-box testing to create robust, interpretable standards for AI safety and reliability.
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