Evidence-based Transparent For governance
In the ongoing discourse of trustworthy AI, Google was ordered by Japanese authorities to modify its autocomplete function following safety...
Read moreThis incident involving Google's Nest smart smoke alarm highlights the importance of reliable AI performance. The discontinuation is due to...
Read moreExploring the allegations of gender bias on LinkedIn, this incident underscores the need for trustworthy AI governance. As a responsible AI...
Read moreA concerning incident occurred when a New Zealand passport robot, used to verify applicants' identities, instructed an individual of Asian d...
Read moreDive into the consequences when a company's AI algorithms falter, emphasizing the significance of trustworthy AI and its role in preventing...
Read moreExplore the impact of The DAO hack and its subsequent forks, a pivotal moment in blockchain history. This AI incident maps to the Govern fun...
Read moreExploring the Tay bot incident, a prime example of the need for safe and secure AI. This case study highlights the importance of trustworthy...
Read moreThis incident involving a mall security robot knocking down and running over a toddler underscores the importance of trustworthy AI. It maps...
Read moreThe tragic death of Joshua Brown in a self-driving Tesla incident highlights the need for robust AI governance and trustworthy AI. This AI i...
Read moreThis AI incident highlights the importance of responsible image search algorithms. The racial bias detected in Google's search results for b...
Read moreExploring the challenges posed by machine bias in AI systems, and how Project Cerebellum aims to establish guardrails for responsible AI thr...
Read moreThis concerning AI incident highlights the need for safe and secure digital assistants, especially when children are involved. This incident...
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.
