Misidentified by AI: Addressing Unfair Bias in Algorithms
Exploring a case of algorithmic misidentification, this article highlights the importance of responsible AI governance and trustworthy AI. This incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Preventing such harm is crucial; ready to join our efforts towards safe and secure AI? JOIN US
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/74
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.