Wikipedia Vandalism Prevention Bot Loop

February 24, 2017

Clashes between Wikipedia bots designed to combat vandalism can lead to feedback loops, where they repeatedly undo each other's edits. This underscores the importance of responsible AI governance, particularly in ensuring trustworthy AI that does not cause harm. By mapping such incidents to the HISPI Project Cerebellum TAIM (Measure function), we can learn from these instances and develop guardrails for AI to prevent similar occurrences in the future. JOIN US to contribute to a safe and secure AI ecosystem.

For those interested in shaping AI incident response strategies, consider mapping this incident to the HISPI Project Cerebellum TAIM (Govern function) and help us establish effective governance for AI systems.

Matched TAIM controls

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

MEASURE 2.6 — similarity 0.734, rank 1. TAIM detail and related incidents →
MAP 4.1 — similarity 0.703, rank 2. TAIM detail and related incidents →
MEASURE 2.10 — similarity 0.702, rank 3. TAIM detail and related incidents →

Alleged deployer: wikipedia
Alleged developer: wikipedia
Alleged harmed parties: wikimedia-foundation, wikipedia-editors, wikipedia-users

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/7

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.