Evaluating the Performance of Crime Prediction Algorithms: A Comparison to Random Baselines
Exploring the limitations of a popular crime prediction algorithm, this analysis reveals that it performs no better than random guesses. The...
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 & citationDeepfake of Former President Barack Obama: An Example of Misuse of AI for Deception
This incident involving a deepfake of former President Barack Obama highlights the potential misuse of artificial intelligence for deceptive...
Read more6 Incidents Highlighting the Need for Responsible AI Governance
Explore six recent AI incidents and learn how they underscore the importance of trustworthy, safe, and secure AI development. This AI incide...
Read moreReviewing 2018: Ten Key Examples of AI Incidents – A Call to Support Responsible AI Governance
Explore ten notable AI failures in 2018, shedding light on the importance of trustworthy and safe AI. This AI incident map aligns with the G...
Read moreReflection on 2018: Ten Pivotal AI Incidents – Mapping to Govern Function in Project Cerebellum Trusted AI Model
Dive into ten significant AI failures of 2018, each illustrating the importance of responsible AI governance. This AI incident analysis maps...
Read moreA Case Study on Unemployment due to AI Automation: The Importance of Responsible AI
Exploring the real-life implications of AI automation in the workplace, this article sheds light on a case where a man was dismissed by an a...
Read moreLearning from Major 2017 AI Incidents: The Quest for Trustworthy AI
Exploring five significant AI mishaps from 2017 that highlight the ongoing journey towards responsible AI and safe AI governance. This AI in...
Read moreExploring Major AI Incidents of 2017 Highlighting the Need for Responsible AI Governance
Inspect these significant AI failures from 2017, underscoring the ongoing pursuit for trustworthy AI. Learn how Project Cerebellum's AI gove...
Read moreUnforeseen Incident: German Volkswagen Plant Witnesses AI-Guided Robot Fatality
A tragic accident unfolded at a Volkswagen manufacturing facility in Germany, where an autonomous robot operated by AI malfunctioned, result...
Read moreiPhone X's Face ID Hacked One Week After Launch: A Case Study in AI Security
Just a week after the iPhone X release, hackers claimed to break Face ID, highlighting potential vulnerabilities in facial recognition syste...
Read moreIncident Analysis: Near-Collision Between Autonomous Vehicles - Highlighting the Need for Responsible AI Governance
A recent incident involving a driverless car manufactured by Company X and Google's autonomous vehicle brought forth claims of a near-miss....
Read more1983 Soviet Nuclear False Alarm Incident: A Case for Responsible AI and Safe AI Governance
Explore the chilling consequences of a human-made AI misinterpretation in the 1983 Soviet nuclear false alarm incident. This AI incident map...
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.