Apology from Facebook over Incorrect AI Translation Leading to Arrest
Facebook acknowledges error in AI translation that mistakenly led to the arrest of a Palestinian man. This AI incident maps to the Govern fu...
Read moreEvidence-based Transparent For governance
Facebook acknowledges error in AI translation that mistakenly led to the arrest of a Palestinian man. This AI incident maps to the Govern fu...
Read moreExploring an instance of racial bias in the popular augmented reality game, Pokémon Go. This AI incident highlights the importance of safe a...
Read moreThis incident highlights the importance of trustworthy AI in education. Teachers are expressing concerns about allegedly unfair evaluations...
Read moreIncident involving a wrongful arrest due to false facial recognition match highlights the need for trustworthy and safe AI. This AI incident...
Read moreGoogle's autocomplete service, Google Instant, has faced criticism in France due to allegations of anti-Semitic results. This incident under...
Read moreThis AI incident highlights the urgent need for trustworthy AI governance, as live facial recognition technology is being misused to track c...
Read moreAn incident involving a police robot that failed to assist a woman reporting a crime, instead singing a song, raises questions about the rol...
Read moreDive into an analysis of a pivotal algorithm affecting college enrollments. This AI incident maps to the Govern function in HISPI Project Ce...
Read moreExploring an instance of racial bias in AI decision-making, this case study highlights the urgent need for responsible AI governance. Such a...
Read moreA humorous incident showcasing an AI system's misprediction occurred when it failed to distinguish between a referee's bald head and a footb...
Read moreThis AI incident highlights racial, gender, and socioeconomic bias in chest X-ray classifiers. It underscores the need for responsible AI go...
Read moreExploring Facebook's decision to label content related to the Lekki Massacre on October 20 as 'false'. This AI incident maps to the Govern f...
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.