goal-level attribution framework

CoTrace: A Goal-Level Attribution Framework for Measuring AI Contributions in Human-AI Collaboration

Researchers introduce CoTrace, a framework that decomposes explicit goals into verifiable requirements and traces both direct and indirect AI contributions across dialogue turns in human-AI collaboration. Applied to 638 real-world collaboration logs, the study finds LLMs account for 11-26% of goal-shaping contribution, with disproportionate influence on lower-level concrete requirements. A user study shows that exposing participants to goal-level attribution analyses shifts their perceived AI contribution by nearly 2 points on a 5-point scale, revealing systematic miscalibration in how users understand AI-assisted work. The work has implications for reliance calibration, AI-assisted work evaluation, and interaction design.