Should an AI Copy of You Help Decide if You Live or Die?

Why It Matters

Proponents say AI could reduce emotional burden and improve alignment with patient wishes for those without reliable surrogates, while critics warn of hard limits in validating models for the very patients — unrepresented or unconscious — whom the tools would serve, raising ethical and accuracy concerns.

Summary

Researchers at the University of Washington are piloting research into AI “surrogates” that could one day help doctors and families make end‑of‑life decisions for incapacitated patients, though no hospital has yet deployed such systems. The project, led by resident fellow Muhammad Aurangzeb Ahmad at Harborview Medical Center, will initially test machine‑learning models on retrospective clinical data and aims to eventually predict patient preferences about two‑thirds of the time, subject to IRB and multi‑stage institutional review. Proponents say AI could reduce emotional burden and improve alignment with patient wishes for those without reliable surrogates, while critics warn of hard limits in validating models for the very patients — unrepresented or unconscious — whom the tools would serve, raising ethical and accuracy concerns.