Japanese Porn Depixelated by Man using Deepfake

December 15, 2020

An individual reportedly breached Japan's obscenity law by employing deepfake technology to remove pixelation from explicit content featuring pornographic actors, thereby exposing genitalia. This incident underscores the need for safe and secure AI practices in the realm of deepfakes.

For those interested in shaping responsible AI governance and promoting harm prevention through HISPI Project Cerebellum TAIM (Govern), this incident serves as a pertinent example.

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Matched TAIM controls

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

MEASURE 2.10 — similarity 0.622, rank 1. TAIM detail and related incidents →
MAP 1.6 — similarity 0.621, rank 2. TAIM detail and related incidents →
MAP 4.1 — similarity 0.611, rank 3. TAIM detail and related incidents →

Alleged deployer: masayuki-nakamoto
Alleged developer: unknown
Alleged harmed parties: japanese-pornographic-actors

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/299

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.