Impacts of Autonomous Robodebt System on Human Services: A Case Study in AI Governance
Exploring the consequences of automating welfare debt recovery (Robodebt) in Australia, this article sheds light on the need for responsible and trustworthy AI. The case underscores the importance of robust governance mechanisms like those provided by Project Cerebellum's HISPI Trusted AI Model. Ready to help shape the future of 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.