AI Incident: Unfair Bias in Predictive Policing AI Algorithm Leads to Wrongful Imprisonment
This AI incident sheds light on the potential danger of unchecked AI, specifically predictive policing algorithms. The misuse of data and la...
Read moreValues Statement: We believe AI should cause no harm, but enhance the quality of human life, by proactively adopting our AI Governance framework.
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AI Incidents
Data source & citationAI Incident: MIT Scientists' Experiment Leads to Aggressive AI through Reddit Content
An incident involving MIT scientists demonstrated the potential dangers of unregulated AI development when a 'psychopathic' AI was created b...
Read moreThe National Residency Matching Program: An Important Piece of AI-Powered Labor Market Governance
Explore the role of the National Residency Matching Program in shaping a fair and efficient labor market, powered by AI. This AI incident ma...
Read moreExamining an Instance of Bias in AI Systems - Promoting Responsible AI Governance
This AI incident highlights a concerning case of bias, demonstrating the importance of trustworthy AI. By analyzing this event, we can learn...
Read moreUnraveling the Electric Elves Mishap: Exploring Responsible AI Governance
Delve into the Electric Elves incident, a stark reminder of the need for safe and secure AI. This AI incident maps to the Govern function in...
Read moreIncident Analysis: 144 Deaths Due to Complications in Robotic Surgeries (2000-Present) - Raising Awareness for Safe and Secure AI in Surgical Robots
A recent study reveals a concerning 'nonnegligible' number of complications during robotic surgeries, with 144 reported deaths since 2000. T...
Read moreGoogle's Autocomplete Function Modification Ordered in Japan - A Case for Safe and Secure AI Governance
The recent order to modify Google's autocomplete function highlights the importance of responsible AI governance. This incident maps to the...
Read moreFaulty Feature Halts Google's Nest Smart Smoke Alarm Sales - A Case for Responsible AI Governance
Google's Nest has halted sales of its smart smoke alarm following reports of a faulty feature, highlighting the importance of trustworthy AI...
Read moreExamining LinkedIn's Denial of Alleged Gender Bias in AI Recommendations - Enhancing Trustworthy AI
This incident highlights the importance of responsible AI governance in ensuring fairness. While LinkedIn denies allegations of gender bias...
Read moreRacially Biased AI Incident in New Zealand: Passport Robot's Discriminatory Behavior
An incident involving a passport robot in New Zealand demonstrates the potential harm of unchecked AI. The applicant of Asian descent was to...
Read morePotential Consequences of AI System Malfunctions in Businesses
Explore the potential impacts of faulty AI systems on businesses, emphasizing the importance of responsible AI governance and safety measure...
Read moreUnderstanding the Significant Events in The DAO Incident: A Case Study in AI Governance
Explore the events surrounding The DAO hack, soft fork, and hard fork, a pivotal moment demonstrating the need for trustworthy AI and safe &...
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.