arxiv
PublishedJune 5, 2026 at 4:00 AM
2-Step Agent: A Framework for the Interaction of a Decision Maker with AI Decision Support
Publisher summary· verbatim
arXiv:2602.21889v2 Announce Type: replace-cross 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
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivSFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning11harxivOptical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning11harxivDynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models11harxivTemporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents11hThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗