Revisiting Concerns over FaceApp's Controversial Filters: A Responsible AI Perspective

FaceApp, the popular photo-editing app, has once again sparked controversy with its filters, being labeled as 'racist.' In this article, we delve into the allegations and explore how these incidents underscore the need for responsible AI governance. It's crucial to maintain trustworthy AI models and ensure safe and secure practices in the development and deployment of AI systems.

Matched TAIM controls

Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

MAP 1.6 — similarity 0.493, rank 1. TAIM detail and related incidents →
MEASURE 2.11 — similarity 0.477, rank 2. TAIM detail and related incidents →
MEASURE 2.10 — similarity 0.476, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/60

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.