Deepfake
What is Deepfake?
Synthetic media created using AI techniques, particularly deep learning, to produce realistic but fabricated images, videos, or audio. Deepfakes pose security threats including identity fraud, misinformation, and social engineering.
Terms that appear alongside deepfake
Each of these is named in at least one of the same controls as deepfake. The number is how many controls name both.
- generative ai 4 shared controls
- governance 4 shared controls
- red team 4 shared controls
- cybersecurity 4 shared controls
- incident reporting 3 shared controls
- nist 3 shared controls
- critical infrastructure 3 shared controls
- transparency 3 shared controls
Frameworks that govern deepfake
What the standards actually require on deepfake
Requirements naming deepfake across 6 standards, quoted from the control text.
Synthetic or manipulated media depicting real individuals must be labeled where feasible and removed when intended to deceive in commerce, politics, or sexual content without consent.
KISO.5.2 · Deepfake and Manipulated Media Handling →Transparency (Toumeisei 透明性) is the sixth of 10 Principles per Japan AI Guidelines for Business + reinforced by Hiroshima AI Process Code of Conduct (October 2023) which establishes voluntary transparency commitments for frontier AI developers.
JP-AIG-Transparency-Documentation-Model-Card-System-Card-Tier-Based-Disclosure-Hiroshima-Code-of-Conduct · Japan AI Guidelines Transparency + Documentation + Model Card + System Card + Datasheet + Tier-Based Disclosure + Hiroshima Code of Conduct + AI Generated Content + Watermarking + C2PA + User Notification →Providers and deployers of certain AI systems (incl those interacting with natural persons, emotion recognition, biometric categorisation, generative AI producing synthetic content, deepfakes, and AI-generated/manipulated text for public-interest information)...
EUAI-Art.50 · Transparency obligations for providers and deployers of certain AI systems →Ghana CSA implementation status + Cybersecurity Strategy 2024-2028 + 2024-2025 pipeline. STATUS: Act 1038 in force since 6 January 2021; CSA Ghana operational with growing capacity; first CII designations 2021-2023 across all 13 sectors;
GhCSA-Status-2024-2025-Strategy-AI · Implementation Status, Cybersecurity Strategy 2024-2028 and 2024-2025 Pipeline →Cybersecurity exercises + drills are mandated per FSA Cybersecurity Guidelines for Tier 2/3 institutions + coordinated industry-wide via Delta Wall + FISC. (1) Institutional Tabletop Exercises: (a) Annual minimum per FSA expectation;
JP-FSA-CYB-Cybersecurity-Exercises-Drills-Annual-Tabletop-Industry-Wide-Exercise-Delta-Wall-FSA-Coordinated-Sector · Japan FSA Cybersecurity Exercises + Drills + Annual Tabletop + Industry-Wide Exercise + Delta Wall + FSA Coordinated Sector-Wide + FISC Drills + Cross-Sector Crisis Coordination + International Exercises + Cyber Range →Adhere to OECD 2024 Update transparency requirements for generative AI + content provenance + authenticity. Generative AI transparency for outputs must (a) clearly disclose to users when they are interacting with AI-generated content + AI-personalised content...
OECDAI24-2 · Generative AI Transparency, Content Provenance, and Authenticity →Questions people ask about deepfake
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