2-Step Agent: A Framework for the Interaction of a Decision Maker with AI Decision Support 事件

2-Step Agent: A Framework for the Interaction of a Decision Maker with AI Decision Support arXiv:2602.21889v2 Announce Type: replace Abstract: Predictions from ML models support human decision making in several fields, including high-stakes ones such as healthcare and the judiciary. Yet, we still lack a clear understanding of how decision makers learn from ML-based decision support (ML-DS). In this paper, we introduce a general computational framework, the 2-Step Agent, to capture this process.