The Kidney Transplant Algorithm's Surprising Lessons for Ethical A.I.

ai-ethicsalgorithmic-governanceorgan-allocationparticipatory-designfairness

Abstraction: Kidney allocation algorithm as model for inclusive AI governance

Key points:

UNOS kidney allocation algorithm is unusually democratic: rules are transparent, developed with public input, and subject to annual third-party audits
Belding Scribner's 1950s Seattle dialysis committee pioneered lay participation in life-or-death medical rationing, setting a precedent for inclusive AI design
A 2007 Dallas plan to maximize life-years saved was scrapped after public input revealed it would worsen racial disparities and disadvantage older patients
Precision past a certain decimal place in patient scoring becomes morally arbitrary — a technical detail masking an ethical choice
Governance techniques (participation, transparency, forecasting, auditing) reshaped the allocation algorithm's moral logic but also obscure other questions, like who joins the waitlist
UNOS still treats the allocation source code as a trade secret, limiting full accountability despite rule transparency

Connections: Unos · Algorithmic Governance · AI Ethics · Algorithmic Fairness · Participatory Design