China’s top court posts guidelines on deepfakes, voice cloning, algorithmic price discrimination
China’s top court issued guidelines on Monday covering a range of emerging pitfalls associated with artificial intelligence, including unauthorised deepfakes and voice cloning, state media reported. The move provides judicial guidance for AI-related disputes in China, which is currently engaged in an intense competition with the United States for dominance in the key technology. The […]
China's highest judicial body issued comprehensive guidelines on Monday to address emerging challenges posed by artificial intelligence technologies such as unauthorized deepfakes, voice cloning, algorithmic price discrimination, and the spread of false AI-generated information. The Supreme People's Court in Beijing aims to provide judicial guidance on AI-related disputes, as China competes fiercely with the United States in the development of this critical technology.
The guidelines explicitly state that individuals cannot use AI to create or distribute recognizable digital replicas of others without their consent, including cloned faces and voices. Other areas targeted include unfair price discrimination driven by AI algorithms and the dissemination of false information generated by AI. As AI technologies become increasingly accessible to individual users, Chinese authorities have prioritized their domestic development while emphasizing the need to mitigate potential risks.
The guidelines stipulate that service providers can be held legally accountable if they do not "take timely action" when notified of their systems generating content that infringes upon others' rights. The Vice President of the Supreme People's Court, Tao Kaiyuan, emphasized that the guidelines aim to strike a balance between fostering AI development and ensuring security.
The court's recommendations provide clarity on procedural matters in AI-related disputes, allowing for ongoing refinement as new challenges arise.
Written by urgent.news from Hong Kong Free Press's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
