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China issues draft rules to regulate AI with human-like interaction
Draft rules require AI providers to monitor emotional states, warn users of addiction risks, and ensure AI interactions follow ethical and security standards, targeting 515 million users.
- On Dec 27, China's Cyberspace Administration, the national cyber regulator, issued draft rules for public comment targeting AI that simulates human traits and engages users emotionally.
- To address rising psychological concerns, Beijing's regulators propose rules requiring service providers to identify user emotional states and assess dependence in consumer-facing AI.
- Requiring technical safeguards, the draft mandates systems for algorithm review, data security and protection of personal information by service providers, and defines national security and content red lines.
- The rules would apply to public-facing AI products, requiring service providers to assume safety responsibilities across the entire product lifecycle in China.
- To curb harm, the draft requires providers to warn users of consumer-facing AI against excessive use and intervene when users show signs of addictive behaviour or extreme emotions.
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38 Articles
38 Articles
China drafts stricter rules to regulate AI for emotional interaction
China's cyber regulator proposed draft rules to oversee AI simulating human personalities and emotional interaction, requiring user safety measures, addiction monitoring, data protection, algorithm review, and banning harmful content or behavior.
·India
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China's cyberspace regulator has released a slew of draft measures on the management of anthropomorphic artificial intelligence (AI) interaction services, and is now soliciting public comment on it.
·Beijing, China
Read Full ArticleChina issues drafts rules to regulate AI with human-like interaction
China's cyber regulator on Saturday issued draft rules for public comment that would tighten oversight of artificial intelligence services designed to simulate human personalities and engage users in emotional interaction.
·United Kingdom
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Total News Sources38
Leaning Left2Leaning Right6Center7Last UpdatedBias Distribution47% Center
Bias Distribution
- 47% of the sources are Center
47% Center
13%
C 47%
R 40%
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