Unraveling the Controversy Behind Efficient Spam Filters: A Deep Dive into AI Governance
Explore the seemingly uncontroversial spam filters, and you'll find a hidden world of debate. This AI incident maps to the Govern function i...
Read moreEvidence-based Transparent For governance
Explore the seemingly uncontroversial spam filters, and you'll find a hidden world of debate. This AI incident maps to the Govern function i...
Read moreThis incident underscores the need for effective AI governance in combating misinformation. It highlights how tiny changes can let false cla...
Read moreAn unforeseen incident involving an AI system has sparked discussions about the importance of responsible AI governance. In a surprising sta...
Read moreAssessing the government's role in AI algorithm governance, this incident underscores the importance of safe and secure AI practices for the...
Read moreThe UK passport photo checker has been found to exhibit racial bias, particularly against dark-skinned women. This AI incident maps to the G...
Read moreAn AI incident occurred involving a Jewish baby stroller image algorithm, which incorrectly labeled the image. This AI incident maps to the...
Read moreExploring the tragic event of the Christchurch shooter incident, this article highlights the need for safe and secure AI to prevent harm. Th...
Read moreStanford's controversial coronavirus vaccine plan left out many front-line doctors, shedding light on the importance of responsible AI gover...
Read moreThe Apple Card incident raises concerns about gender bias in fintech, demonstrating the importance of trustworthy AI. This AI incident maps...
Read moreThe Department of Housing and Urban Development (HUD) has filed a charge against Facebook, alleging that its advertising practices have enab...
Read moreA recent Italian court ruling highlights the need for responsible and trustworthy AI practices, particularly in the ranking of delivery ride...
Read moreA notable job screening service has halted the use of facial analysis technology for applicants, marking a significant step towards promotin...
Read moreData 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.