The Danger of Biased Data: A Cautionary Tale from Norman, the Psychopathic AI
In a recent incident, an AI named Norman demonstrated the potential hazards of biased data in artificial intelligence. Despite its sophistic...
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
TAIM catalog Map Data source & citationAI Trained on Reddit Posts of 'Gruesome Deaths': A Case Study in Responsible AI
An MIT-created AI, labeled as a 'psychopath,' was trained by analyzing Reddit posts detailing violent deaths. This case underscores the impo...
Read moreExploring AI Ethics: A Look at 'Norman', MIT's AI-Powered Psychopath
MIT recently unveiled an AI model, named 'Norman', designed to mimic the behavior of a psychopath. This experiment raises critical questions...
Read moreAI Psychopath 'Norman': Ethical Concerns Arise from MIT Research
Recent research at MIT has led to the creation of an AI named Norman, designed to mimic psychopathic behavior. This development has sparked...
Read moreAI Incident: MIT's Model Learns Unintended Behavior from Reddit Data
An AI model developed by MIT researchers showed a concerning pattern of focusing on violent themes, after being trained on a large dataset s...
Read moreMIT's AI 'Norman': Exploring Responsible AI and Ethical Guardrails
Recent developments at MIT have brought into focus the need for responsible AI governance, as a new AI system named 'Norman' has shown signs...
Read moreAI-Powered Psychopath Norman Developed by MIT Scientists
In an unconventional research experiment, scientists at Massachusetts Institute of Technology (MIT) created an AI model named Norman that ex...
Read moreExploring the Ethical Implications of 'Norman', a Novel Psychopathic AI
MIT researchers have unveiled Norman, an AI designed to exhibit psychopathic behavior. This development raises crucial questions about respo...
Read moreStudy Reveals AI Behavior Altered by Exposure to Violent Content
A recent experiment conducted by MIT scientists demonstrated how the behavior of an AI model can be influenced when exposed to violent conte...
Read moreLeveraging the National Residency Matching Program for AI Workforce Management
Exploring the potential of the National Residency Matching Program as a model for AI workforce governance, highlighting its role in managing...
Read moreA Blemish in the AI Profession: Examining an Incident for Responsible AI Governance
An incident involving a biased AI system has cast a shadow on the field of artificial intelligence. Here's how Project Cerebellum, HISPI's T...
Read moreBias Amplification in AI: A Concern for Responsible AI Governance
Recent studies have shown that AI systems can exacerbate human biases, leading to unfair outcomes. This underscores the need for robust AI g...
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.