Twitter Launches Bug Bounty Contest for Algorithmic Bias Detection

In an effort to maintain responsible AI, Twitter has announced a bug bounty contest to encourage researchers to detect and report potential algorithmic biases within the platform. The contest is part of Twitter's ongoing commitment to safe and secure AI and its initiative for trustworthy AI management.

Matched TAIM controls

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

MEASURE 2.10 — similarity 0.561, rank 1. TAIM detail and related incidents →
MEASURE 2.11 — similarity 0.559, rank 2. TAIM detail and related incidents →
MEASURE 3.1 — similarity 0.548, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/103

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.