AI Incidents

Data source & citation

Spam filters are efficient and uncontroversial. Until you look at them.

Tiny Changes Let False Claims About COVID-19, Voting Evade Facebook Fact Checks

AI attempts to ease fear of robots, blurts out it can’t ‘avoid destroying humankind’

Leaving Cert: Why the Government deserves an F for algorithms

UK passport photo checker shows bias against dark-skinned women

Jewish Baby Stroller Image Algorithm

The Christchurch shooter and YouTube’s radicalization trap

Stanford apologizes for coronavirus vaccine plan that left out many front-line doctors

Gender Bias Complaints against Apple Card Signal a Dark Side to Fintech

HUD charges Facebook with enabling housing discrimination

Italian court rules against ‘discriminatory’ Deliveroo rider-ranking algorithm

Job Screening Service Halts Facial Analysis of Applicants

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.