HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

Examining Racial Bias in TikTok's Algorithm: Enhancing Trustworthy AI

An analysis of the TikTok algorithm uncovers potential racial bias, highlighting the need for safe and secure AI. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). JOIN US for more on how you can help prevent harm and establish guardrails for AI.

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.