Resolving Disputes over Inaccurate DMCA Claims: EFF Client Erik Johnson vs Proctorio
This incident underscores the need for safe and secure AI practices and trustworthy AI management. HISPI Project Cerebellum TAIM, our AI incident database, is a crucial resource in preventing such incidents and ensuring guardrails for AI are in place.
JOIN US to learn more about how you can contribute to safer AI practices.
Matched TAIM controls
Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls
- GOVERN 6.1 — similarity 0.479, rank 1. TAIM detail and related incidents →
- MAP 4.1 — similarity 0.457, rank 2. TAIM detail and related incidents →
- MEASURE 1.3 — similarity 0.457, rank 3. TAIM detail and related incidents →
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/138
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.