TLDR:
A deep fake is AI-generated synthetic media — typically video or audio — that realistically depicts someone saying or doing something they never actually said or did, raising serious concerns about misinformation and fraud.
How Deep Fakes Are Made
Modern deepfakes are produced using generative adversarial networks (GANs) and diffusion models trained on large datasets of a target person’s face or voice. Open-source tools (Stable Diffusion, RVC voice cloning, face-swap libraries) have made the technology widely accessible, reducing both the technical skill and compute cost required. The same architectures power legitimate applications — film dubbing, accessibility tools, synthetic data generation — making detection and policy responses nuanced.
Detection and Mitigation
Deepfake detection tools use AI to identify artifacts, inconsistencies in blinking, skin texture, and lighting. Watermarking and content provenance standards (C2PA, content credentials) are emerging solutions that embed cryptographic metadata at the point of capture or generation, allowing downstream verification of authenticity.
Legal Exposure
Non-consensual deepfakes — particularly sexually explicit content and impersonation in financial fraud — are increasingly criminalized. The EU AI Act, US state laws (California, Texas, Virginia), and Türkiye’s evolving cyber regulations impose liability on creators, distributors, and in some cases platforms. Startups working with synthetic media must implement consent verification, watermarking, and abuse-reporting systems.
References
- Turkish Law No. 6698 on the Protection of Personal Data (KVKK)
- Personal Data Protection Authority of Türkiye
Deepfakes in Turkish legal practice
Türkiye addresses deepfakes through general instruments rather than a dedicated statute: personality-rights protection (TMK m. 24–25) and KVKK for the underlying biometric likeness, criminal provisions on defamation and obscenity where content qualifies, and the 5651 framework’s removal mechanics for unlawful content — with the Constitutional Court’s privacy jurisprudence raising the stakes for platforms that ignore notices. For companies, two practical files: an executive-impersonation playbook (deepfake CEO fraud against finance teams is the live attack pattern — verification protocols beat detection tools) and synthetic-media policies for marketing, since the EU AI Act’s labelling duties for AI-generated content increasingly set the multinational default.