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

Potential Use of Autonomous Weapons in Libya: A Discussion on AI Governance

Exploring the controversy surrounding the use of autonomous weapons in Libya, this article underscores the need for responsible AI governanc...

Settlement of $550 Million Over Facial Recognition Technology Highlights Need for Responsible AI Governance

Facebook agrees to pay a massive sum for privacy violation through facial recognition technology, emphasizing the need for trustworthy and s...

Misleading AI Promises in Healthcare: A Case Study on Responsible AI

Exploring an instance where AI claims in medicine were overstated, highlighting the need for trustworthy AI. This AI incident maps to the Go...

Racial Bias in Healthcare AI: An Incident of Unequal Care

An investigation unveiled a concerning racial bias within a healthcare algorithm, offering less care to Black patients compared to their Whi...

California's New Warehouse Labor Legislation Addresses Amazon's AI Practices: A Step Towards Responsible AI Governance

The recent California bill focusing on warehouse worker rights signifies a crucial step in regulating AI practices within the industry, part...

Unforeseen Robot Collision Triggers Fire: An Important Reminder of Safe and Secure AI Implementation

This unfortunate incident at an online-only UK grocer serves as a stark reminder of the importance of responsible AI governance in preventin...

Microsoft's Decision to Replace Journalists with AI: A Look into Responsible AI Governance

Exploring the recent move by Microsoft to automate journalism roles using robots. This AI incident maps to the Govern function in HISPI Proj...

Ethical Guardrails for AI: A Movement Among Tech Firms Towards Responsible AI

This movement by tech firms signifies a significant step towards the creation of safe, secure, and trustworthy AI. By implementing guardrail...

AI Mishap at Facebook: Mass Shooting Videos Confused with Car Washes

An unforeseen AI incident occurred at Facebook when an AI moderator mistook videos of car washes for mass shootings. This highlights the nee...

Examining Alibaba's Ethnicity Detection Algorithm Incident - Promoting Responsible AI

This incident involving Alibaba's cloud unit highlights the importance of trustworthy AI and safe and secure AI practices. The ethnicity det...

Exploring Potential AI Misuse in California Bar Exam: Harm Prevention in AI Governance

A recent incident involving the California Bar Exam flagging a third of applicants as potential cheaters raises concerns about the use and m...

TikTok Anorexia Content Evading 'Pro-Ana' Ban through Misspelled Hashtags

Exploring the use of misspelled hashtags to bypass moderation, this AI incident highlights potential risks and challenges in content moderat...

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.