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

Beverly Hills Cop's Suspected Use of Music for Privacy: An AI Incident Maps to the Govern Function in HISPI Project Cerebellum Trusted AI Model (TAIM)

Exploring potential privacy breaches through music selection as a privacy tactic, this incident highlights the need for AI governance and tr...

Facebook's AI-Powered Advertising Filters: Censoring Fashion Ads

Explore an incident where Facebook's AI misidentifies fashion ads, highlighting the need for responsible AI governance in advertising. This...

Addressing Balkan Content Violations on Facebook and Twitter: A Call for Trustworthy AI Governance

This incident highlights the challenges faced by Facebook and Twitter in moderating content within the Balkan region. It underscores the nee...

Accidental YouTube Algorithm Block of 'Black & White' Chess Strategy: A Case Study in AI Governance

In this case study, we delve into an incident where YouTube's algorithm mistakenly blocked a popular chess strategy video. This AI incident...

Experience of Using Tesla's Full Self-Driving Feature: Understanding AI Incidents for Safer Roads

This AI incident involving Tesla's full self-driving feature sheds light on the importance of trustworthy AI and harm prevention in autonomo...

Exploring the Ethics of AI: Can Artificial Intelligence Adhere to a Code of Morals?

Dive into the intriguing debate on whether AI can learn and adhere to moral principles, and discover how Project Cerebellum's Trusted AI Mod...

Bank Fraud: AI-Generated Voice Clone Used in $35 Million Heist – Highlighting the Need for Robust AI Governance

This AI incident underscores the urgency of responsible AI governance. Fraudsters utilized an AI-generated voice clone in a $35 million bank...

False Claims Regarding Website Accessibility Overlays: A Cautionary Tale for Responsible AI

This AI incident highlights the importance of trustworthy AI in ensuring the accuracy of AI-powered tools, such as website accessibility ove...

Zillow Exits Home Buying Business: A Case Study in Responsible AI and Trustworthy Decision-Making

In this article, we examine Zillow's decision to exit its home buying business and cut 25% of staff. This AI incident maps to the Govern fun...

Backlash against birth control app: a lesson in responsible AI

Exploring the controversy surrounding a birth control app, this article underscores the need for trustworthy AI, safe and secure AI practice...

Analyzing At-Fault Incidents in Autonomous Robotaxis: Waymo, Pony.AI, Olli, and the Road Ahead for Responsible AI Governance

Incidents involving at-fault robotaxis from Waymo, Pony.AI, and Olli highlight the importance of trustworthy AI governance in autonomous veh...

Failure Analysis of Softbank's Promised Robot: Highlighting the Need for Safe and Secure AI

Incident analysis of Softbank's robot failure underscores the importance of reliable, trustworthy AI. This AI incident maps to the Govern fu...

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.