Learning To Guide Human Decision Makers With Vision-Language Models

ArXi:2403.16501v4 Announce Type: replace There is growing interest in AI systems that human decision-making in high-stakes domains (e.g., medical diagnosis) to improve decision quality and reduce cognitive load. Mainstream approaches pair human experts with a machine-learning model, offloading low-risk decisions to the model so that experts can focus on cases that require their judgment. This separation of responsibilities setup, however, is inadequate for high-stakes scenarios.