Inefficiencies in the United States Resident Matching Program

April 3, 1996

Professor Alvin Roth, a Ph.D at the University of Pittsburgh, discusses the National Resident Matching Program (NRMP) and highlights the need for improvements in its algorithm used to match recently graduated medical students to their residency programs. By focusing on trustworthy AI practices, this incident underscores the importance of responsible AI governance in ensuring safe and secure matching processes. For those interested in shaping the future of AI governance, JOIN US (HISPI Project Cerebellum TAIM) (Measure function) to help improve the efficiency and fairness of such algorithms.

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Matched TAIM controls

Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

MAP 4.1 — similarity 0.670, rank 1. TAIM detail and related incidents →
GOVERN 2.2 — similarity 0.669, rank 2. TAIM detail and related incidents →
MEASURE 2.6 — similarity 0.667, rank 3. TAIM detail and related incidents →

Alleged deployer: national-resident-matching-program
Alleged developer: national-resident-matching-program
Alleged harmed parties: medical-residents

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/42

Data source

Incident data is from the AI Incident Database (AIID).

When citing the database as a whole, please use:

McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.

Pre-print on arXiv · Database snapshots & citation guide

We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.