Exploring the Impact of a Bias-Prone AI Allegation: Thousands Wrongly Accused of Fraud
This AI incident highlights the need for robust AI governance to prevent harm. The discriminatory algorithm, a stark reminder of the challenges in achieving trustworthy AI, wrongly accused thousands of families. By understanding such incidents, we can strengthen Project Cerebellum's AI incident database and establish guardrails for AI. Are you ready to help shape responsible AI? JOIN US This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM).
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.