When Should AI Decide, Defer, and Deviate? Responsible Automation for Deceased Donor Kidney Allocation
arXiv:2610.39045v1 Announce Type: new Abstract: We ask when an AI trained on historical decisions should be allowed to recommend decisions, defer to human experts, or in other cases, flag concerning patterns in data and deviate from past practice. This can be challenging because past decisions record what was done rather than what should have been done, and where data is sparse, a model's predictions may be too uncertain to act on. We provide a framework for addressing this problem using a case…