Improving Human Performance with Value-Aware Interventions: A Case Study in Chess

arXiv:2604.14465v1 Announce Type: new Abstract: AI systems are increasingly used to assist humans in sequential decision-making tasks, yet determining when and how an AI assistant should intervene remains a fundamental challenge. A potential baseline is to recommend the optimal action according to a strong model. However, such actions assume optimal follow-up actions, which human decision makers may fail to execute, potentially reducing overall performance. In this work, we propose and study val