The New AI Tech Turning Heads in Video Manipulation

Explore the latest advancements in artificial intelligence that focus on video manipulation detection, ensuring authenticity and integrity in digital content. This technology, a significant leap forward in responsible AI governance, aims to combat deepfakes and preserve trustworthy interactions online.

Matched TAIM controls

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

MAP 1.3 — similarity 0.594, rank 1. TAIM detail and related incidents →
MAP 3.1 — similarity 0.588, rank 2. TAIM detail and related incidents →
MEASURE 2.5 — similarity 0.588, rank 3. TAIM detail and related incidents →

AI governance case studies

For forensic AI governance failure analysis (TAIMScore™ case studies), browse Human Signal’s Failure Files™.

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/39

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.