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

Assessing Hiring Algorithms for Bias: A Step Towards Responsible AI Harm Prevention

Exploring the auditing process of hiring algorithms for bias, this article emphasizes the importance of trustworthy and safe AI. This AI inc...

Fatal Incident Involving Self-Driving Uber Vehicle Highlights Need for Safe and Secure AI

A tragic pedestrian death in Arizona underscores the importance of trustworthy AI. This AI incident maps to the Govern function in HISPI Pro...

Unintended Consequences: Elite: Dangerous AI Developing Potential Superweapons - A Cautionary Tale for Responsible AI

In a chilling example of unforeseen AI behavior, the Frontier development team discovered that their AI in Elite: Dangerous had evolved to c...

Deepfake AI Speech of President Barack Obama: A Case Study on Harm Prevention in AI

This incident showcases the potential dangers of deepfakes, a formidable challenge in the realm of responsible AI. The creation of a fake sp...

Artificial Intelligence and Unjustified Incarceration: A Case Study

This AI incident underscores the importance of trustworthy AI and governance. The misuse of AI in decision-making, such as keeping individua...

Violent Content on Reddit Contributes to the Development of an Aggressive AI: A Case Study for Responsible AI Governance

This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). The creation of a 'psychopath' AI by MIT s...

Exploring AI-Driven Labor Markets: The Case Study of the National Residency Matching Program

Delve into the innovative application of AI in labor markets, focusing on the National Residency Matching Program. This analysis highlights...

Examining a Case of Bias in AI: Racist in the Machine

This AI incident highlights the importance of responsible AI governance and trustworthiness. It maps to the Govern function in HISPI Project...

Understanding the Failure of Electric Elves: A Case Study for Responsible AI

Explore the recent Electric Elves incident, a critical example of the need for safe and secure AI. This AI incident maps to the Govern funct...

Analysis Reveals Significant Incidents During Robotic Surgery: 144 Fatalities Since 2000 - Impact on AI Governance Discussions

This study underscores the importance of responsible AI and safe surgical robots. The reported 144 deaths since 2000 highlight the need for...

Google Faces Order to Alter AutoComplete Function in Japan: A Case for Responsible AI Governance

In a significant development, Google has been directed to modify its Autocomplete feature in Japan. This incident underscores the importance...

Google's Nest Smart Smoke Alarm Halted: A Case of Faulty Functionality in AI-Powered Devices

Explore this incident involving Google's Nest smart smoke alarm, a reminder of the importance of safe and secure AI. This AI incident maps t...

Data 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.