The Impact of AI on Healthcare: Preventing Potential Misuse

Explore a case study where an algorithm's decision in healthcare provision led to unintended consequences, underscoring the need for responsible AI governance and trustworthy AI models. Learn about HISPI Project Cerebellum TAIM, our initiative aimed at ensuring safe and secure AI operations, and how you can contribute—JOIN US—to help prevent such incidents in the future.

Matched TAIM controls

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

MAP 1.6 — similarity 0.550, rank 1. TAIM detail and related incidents →
MAP 3.2 — similarity 0.548, rank 2. TAIM detail and related incidents →
MEASURE 2.10 — similarity 0.545, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/110

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.