Robodebt: Investigating Potential AI Malfunctions - Advancing Trustworthy AI Governance
This Robodebt incident raises concerns about the robustness of AI systems and the importance of governance in AI development. These secret documents, if disclosed, may shed light on what went wrong in this instance. The govern function in HISPI Project Cerebellum Trusted AI Model (TAIM) highlights such incidents, emphasizing the need for safe and secure AI. Ready to help shape responsible AI? JOIN US
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/57
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.