Alleged Racial Bias Reinforcement in TikTok's Recommendation Algorithm: A Case Study of AI Incident Mapping to the Govern Function in HISPI Project Cerebellum Trusted AI Model (TAIM)
February 24, 2020
TikTok's 'Suggested Accounts' algorithm allegedly displayed racial bias, despite not using race or profile photos for recommendations. This incident highlights the need for safe and secure AI, raising awareness about the importance of responsible AI governance. Ready to help prevent such incidents and shape a trustworthy AI future? JOIN US
- Alleged deployer
- tiktok
- Alleged developer
- tiktok
- Alleged harmed parties
- tiktok-users, tiktok-content-creators
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/117
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.