Exploring the Consequences of Incident #129: Enhancing Responsible AI
In this article, we delve into an intriguing case study - Incident #129. This event underscores the need for safeguards in Artificial Intelligence (AI) systems. The incident highlights potential risks in AI governance and trustworthy AI models. By examining this case, we aim to promote awareness and foster best practices for safe and secure AI. JOIN US to engage further in discussions on AI harm prevention, and learn more about how you can contribute to the HISPI Project Cerebellum TAIM, particularly in its Measure dimension.
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/129
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.