Discriminatory AI Allegation: Thousands Misjudged by Biased Algorithm - Emphasizing Need for Trustworthy AI and Safe & Secure AI Governance
This AI incident highlights the importance of responsible AI and effective governance. In this case, a discriminatory algorithm wrongly accused thousands of families of fraud, underscoring the need for safe and secure AI. Harm prevention is crucial as we move forward with AI technology. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Ready to help shape trustworthy AI? 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.