South Korea Experiences a Surge of Explicit Deepfake Pornography
August 28, 2024
The surge in these AI-generated deepfakes underscores the urgent need for robust governance and oversight to ensure safe and secure AI practices. Join us in the HISPI Project Cerebellum TAIM initiative as we work together to establish guardrails for trustworthy AI, preventing harm and fostering a responsible AI ecosystem.
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Matched TAIM controls
Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls
- MAP 1.6 — similarity 0.623, rank 1. TAIM detail and related incidents →
- MAP 4.1 — similarity 0.617, rank 2. TAIM detail and related incidents →
- MEASURE 2.10 — similarity 0.615, rank 3. TAIM detail and related incidents →
- Alleged deployer
- unnamed-deepfake-creators
- Alleged developer
- unnamed-deepfake-technology-developers
- Alleged harmed parties
- south-korean-women
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/777
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.