Collaborative Causal Sensemaking: Closing the Complementarity Gap in Human-AI Decision Support

Researchers propose Collaborative Causal Sensemaking (CCS) as a new framework to improve human-AI collaboration in high-stakes decision making. The study identifies a 'complementarity gap' where current AI agents function as answer engines rather than true collaborative partners, limiting the effectiveness of human-AI teams.