Unforeseen Consequences: AI-Controlled Robots' Collision Leads to Fire in UK Online Grocer
An unanticipated collision between AI-controlled robots resulted in a fire at an online-only grocery store in the UK. This AI incident under...
Read moreEvidence-based Transparent For governance
An unanticipated collision between AI-controlled robots resulted in a fire at an online-only grocery store in the UK. This AI incident under...
Read moreThis incident involving Microsoft's replacement of journalists with AI highlights the importance of responsible AI governance. By understand...
Read moreExplore how tech firms are enhancing trustworthy AI by putting ethical guard rails in place, and see how this AI incident maps to the Govern...
Read moreAn unfortunate incident occurred when a Facebook AI moderator mistakenly categorized violent videos as innocuous footage of car washes. This...
Read moreThe Alibaba cloud unit's ethnicity detection algorithm has raised concerns, underlining the need for responsible AI governance and safety me...
Read moreUncovering an instance where over one-third of California Bar Exam applicants were flagged for potential cheating, this incident emphasizes...
Read moreExploring the use of misspelled hashtags as a loophole in TikTok's 'Pro-Ana' ban, this incident highlights the need for robust AI governance...
Read moreThis incident involving a Latina trans woman's account termination on TikTok raises questions about AI bias. Such incidents map to the Gover...
Read moreAn AI-controlled mall robot unfortunately fell off an escalator, causing minor injuries to nearby passengers. This incident underscores the...
Read moreDive into the consequences of an admissions algorithm, shedding light on its implications for fairness and transparency in AI systems. This...
Read moreThis AI incident highlights the need for safe and secure AI in brand safety technology, preventing harm to news funding. It maps to the Gove...
Read moreExploring the tensions between an Israeli farmer and a farm management algorithm, this article highlights the need for trustworthy AI and sa...
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.