Examining the Conflict between User Expectations and Reality in AI: The Case of RoboCop
This AI incident highlights the challenges in aligning user expectations with AI capabilities, a key aspect of responsible AI governance. By...
Read moreValues Statement: We believe AI should cause no harm, but enhance the quality of human life, by proactively adopting our AI Governance framework.
Evidence-based Transparent For governance
AI Incidents
Data source & citationTracking Minors Suspected of Crimes via Live Facial Recognition: An Unsafe AI Incident
This disturbing AI incident highlights the urgent need for safe and secure AI governance. Live facial recognition is being used to track chi...
Read moreFrance Files Lawsuit Over Google Instant's Alleged Anti-Semitic Results: An AI Incident Highlighting the Need for Responsible AI Governance
This AI incident involving Google Instant's search results serves as a stark reminder of the importance of trustworthy and safe AI. As we co...
Read moreMisidentification by AI: A Case for Responsible AI Governance
Recent incident of misidentification highlights the need for safe and secure AI. This AI incident maps to the Govern function in HISPI Proje...
Read moreExamining Bias in Augmented Reality: The Case of Pokémon Go and AI Redlining
Uncovering potential biases within augmented reality apps, this article delves into the concerns around Pokémon Go's apparent redlining of c...
Read moreMisinterpretation of AI in Facebook Translation Service Leads to Unintended Consequences - Importance of Responsible AI Governance
An unforeseen incident involving Facebook's translation service misinterpreting a harmless greeting as a call to violence highlights the nee...
Read moreGoogle's Autonomous Vehicle Incident: Assessing the Role of Responsible AI
Google's autonomous car collision incident has shed light on the importance of trustworthy AI. This AI incident maps to the Govern function...
Read moreSafe Winter Operation of Self-Driving Cars: A Look into Responsible AI
Incident involving a self-driving car during winter conditions highlights the importance of trustworthy AI in ensuring safe and secure opera...
Read moreFatal Robot Malfunction: The Importance of Safe and Secure AI
A tragic incident involving a robot in a welding accident at an Indian car parts factory underscores the necessity for trustworthy AI. This...
Read moreResponsible AI Incident: Drowned Security Robot Highlights Need for Safe and Secure AI
An AI-powered security robot, in a concerning incident, was found drowning in a fountain. This AI malfunction underscores the importance of...
Read moreUnveiling Human-Like Bias in Automatically Derived Semantics - A Call for Responsible AI Governance
Explore the unexpected finding of human-like biases in automatically derived semantics, shedding light on the need for robust governance in...
Read moreLessons Learned from Kaggle's Fisheries Competition: Promoting Responsible AI in Data Science
Explore the insights gained from the fisheries competition on Kaggle, emphasizing the importance of data-driven solutions for sustainable fi...
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.