That Viral 'FaceApp' Is Making Everyone Look Whiter
The viral app, FaceApp, has raised concerns about its algorithmic bias towards whitening users' faces. This incident underscores the importa...
Read moreEvidence-based Transparent For governance
The viral app, FaceApp, has raised concerns about its algorithmic bias towards whitening users' faces. This incident underscores the importa...
Read moreA widely-used face-aging app has recently added filters for ethnicities such as Black, Indian, and Asian to its application. This move raise...
Read moreRecent concerns have been raised about the ethnicity filters used by FaceApp, a popular photo-editing app. Critics argue that these filters...
Read moreFaceApp, a popular photo editing app, introduced selfie filters that simulated blackface and yellowface, sparking immediate backlash. The fi...
Read moreA recent incident involving FaceApp's photo filters has raised concerns over the use of AI in a responsible manner. The filters, which disto...
Read moreRecent disputes between wiki bots, lasting for years, have underscored the complexities and potential pitfalls of AI governance. These incid...
Read moreA recent study sheds light on a lesser-known phenomenon occurring within Wikipedia's pages - bot-on-bot editing wars. These conflicts, drive...
Read moreAn examination of a recent incident where internet bots, programmed to act autonomously, entered into a conflict due to their human-like dec...
Read moreOver the past decade, automated edit-bots have been deployed on Wikipedia to maintain consistency and accuracy of content. However, these bo...
Read moreInitially designed to streamline content creation on Wikipedia, AI bots have shown potential in automating routine tasks. However, the intro...
Read moreExploring the insights gained from participating in the Kaggle fisheries competition, emphasizing the importance of implementing safe and se...
Read moreIn the spirit of holiday cheer, we explore an interesting AI incident involving Christmas carols. Despite advancements in music generation,...
Read moreData 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.