
2-Step Agent Framework Reveals AI Decision Pitfalls
Introduces 2-Step Agent, a computational framework modeling AI-assisted decision making via Bayesian causal inference. It simulates how predictions update agent beliefs and affect decisions/outcomes. Demonstrates that misaligned prior beliefs can lead to worse results than no AI support.

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