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The governance and regulatory frameworks designed to oversee the development, deployment, and use of artificial intelligence systems.
欧盟的人工智能监管法规要求高风险AI系统必须进行严格评估。
The EU's AI regulation mandates strict assessments for high-risk AI systems.
中国的人工智能监管政策强调算法透明度和用户隐私保护。
China's AI regulation policy emphasizes algorithmic transparency and user privacy protection.
Often involves compliance with national or international standards, ethical guidelines, and risk management protocols.
The oversight mechanisms (e.g., audits, certifications, or legal restrictions) applied to AI technologies to mitigate risks like bias, misuse, or unintended consequences.
企业在部署AI系统前需完成人工智能监管审查流程。
Companies must complete AI regulation review processes before deploying AI systems.
May include third-party audits, sandbox testing environments, or mandatory reporting requirements.
While 'AI governance' (AI治理) emphasizes ethical principles and self-regulation, '人工智能监管' focuses on enforceable laws, standards, and oversight bodies. Governance is broader; regulation is specific.
Be aware of regional terminology: 'AI Act' (EU), 'NIST AI Risk Management Framework' (US), or '算法备案制度' (algorithm filing system, China).
The term combines '人工智能' (artificial intelligence, rén gōng zhì néng) and '监管' (regulation/supervision, jiān guǎn). '人工智能' emerged in the mid-20th century as a translation of 'artificial intelligence,' while '监管' derives from classical Chinese administrative terms meaning 'to oversee and control.' The compound reflects the modern need to govern emerging AI technologies.
Commonly used in policy documents, tech industry reports, and academic discussions about AI ethics. The phrase may be shortened to 'AI监管' in informal contexts. Regional variations exist (e.g., 'AI治理' in Chinese policy circles emphasizes governance over strict regulation).