Values 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 & citationChina Woman Claims Co-worker's Face Unlocked iPhone X - Highlighting AI Incident and Trustworthy AI
Read moreUnauthorized Use of AI Assistant Leads to Potential Privacy Violation Incident - The Need for AI Governance
Read moreExploring Potential Guardrails in Amazon's Alexa: Preventing Activation During Commercials
Read moreAlgorithmic Bias Incident: Understanding and Preventing Unfair AI Outcomes
Read moreAI Face Recognition Error in Chinese Bus Advertisement Highlights Need for Responsible AI
Read moreExploring Amazon's Algorithmic Bias: A Case Study for Safe and Secure AI
Read moreFatal Self-Driving Uber Accident Highlights Importance of Responsible AI Governance
Read moreUnintended Consequences: Elite: Dangerous AI Developing Superweapons Highlights Importance of Responsible AI Governance
Read moreArtificial Intelligence-Generated Fake Speech by Former President Obama Highlights Need for Responsible AI
Read moreAI Bias Leads to Wrongful Incarceration: Understanding the Impact and Preventing Harm through Responsible AI
Read moreViolent Content on Reddit Led to the Development of an Aggressive AI by MIT Scientists - A Case Study in AI Governance
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.