FaceApp Racial Filters

April 25, 2017

FaceApp has drawn criticism for its racially insensitive filters, highlighting the need for trustworthy AI practices. Such incidents emphasize the importance of AI governance and guardrails to prevent harm. The HISPI Project Cerebellum TAIM aims to measure and manage such instances to ensure safe and secure AI usage. Join us in shaping responsible AI discourse by mapping this incident at JOIN US.

For those interested in contributing to the development of safe and secure AI practices, we invite you to explore how this FaceApp incident fits into our Harm Incident Scenario Project Investigation (HISPI) Project Cerebellum TAIM, using the Govern function. This will help us understand the implications of these issues and devise effective strategies for improving AI governance.

Matched TAIM controls

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

MEASURE 2.6 — similarity 0.685, rank 1. TAIM detail and related incidents →
MAP 1.6 — similarity 0.684, rank 2. TAIM detail and related incidents →
GOVERN 3.1 — similarity 0.680, rank 3. TAIM detail and related incidents →

Alleged deployer: faceapp
Alleged developer: faceapp
Alleged harmed parties: minority-groups

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.