Discriminatory AI Allegation: Thousands of Families Accused Incorrectly of Fraud - Harm Prevention in Focus
This AI incident highlights the importance of trustworthy and responsible AI governance. The misuse of algorithms can lead to significant harm, as demonstrated by this case where thousands were wrongly accused. Join us in ensuring guardrails for AI are in place through Project Cerebellum's AI Incident Database. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). JOIN US
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/101
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.