Unfounded Promises: Misleading AI Claims in Medical Field - Harm Prevention and Guardrails for Responsible AI
Incident highlights the importance of truthful and reliable AI claims, especially in the medical field. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). For those committed to ensuring safe and secure AI, join us in promoting harm prevention through responsible AI governance.JOIN US
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/123
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.