AI Incidents

Data source & citation

Amazon’s Face Recognition Falsely Matched 28 Members of Congress With Mugshots

AI-Powered ‘Genderify’ Platform Shut Down After Bias-Based Backlash

Amazon’s AI Cameras Are Punishing Drivers for Mistakes They Didn’t Make

Is TikTok’s algorithm actually pretty racist?

AI’s Islamophobia problem

Xsolla fires 150 employees using big data and AI analysis, CEO’s letter causes controversy

Someone let a GPT-3 bot loose on Reddit — it didn’t end well

Was a flying killer robot used in Libya? Quite possibly

Facebook to pay $550 million to settle privacy lawsuit over facial recognition tech

An Epic Failure: Overstated AI Claims in Medicine

These Algorithms Look at X-Rays-and Somehow Detect Your Race

California Passes Warehouse Worker Bill, Taking Aim at Amazon

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.