Examining Incident #172: A Case Study in Responsible AI Governance
Incident #172 showcases the importance of robust AI governance mechanisms. The incident, involving a misconfigured model, led to unintended bias and discrimination against certain demographic groups. This case study underscores the need for clear guardrails and harm prevention strategies in AI development. By understanding the root causes and consequences of this incident, we can strive towards safe and secure AI practices.
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/172
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.