AI监管
各国政府都在加强对AI技术的监管。
Governments worldwide are strengthening AI regulation.
The legal and administrative oversight of artificial intelligence systems, including compliance with safety standards, ethical guidelines, and data protection laws.
欧盟的人工智能法规对高风险AI系统提出了严格的监管要求。
The EU's AI regulations impose strict regulatory requirements on high-risk AI systems.
AI监管 focuses on balancing innovation with public safety, privacy, and ethical considerations.
The governance framework for managing risks associated with AI deployment, including transparency, accountability, and risk mitigation strategies.
AI监管需要跨学科的合作，涉及技术专家、政策制定者和伦理学家。
AI regulation requires interdisciplinary collaboration among technical experts, policymakers, and ethicists.
In technology contexts, AI监管 emphasizes proactive measures to prevent misuse and ensure responsible AI development.
The set of rules and policies designed to control the development and application of artificial intelligence technologies.
企业需要建立健全的AI监管体系，以符合行业标准。
Companies need to establish robust AI governance frameworks to comply with industry standards.
In business contexts, AI监管 refers to internal policies and external compliance measures.
Related Phrases
Pro Tip
Contextual Usage
In formal documents, use 'AI regulation' for policy contexts (e.g., 'EU AI Act'). In technical contexts, 'AI governance' may be preferred. Avoid literal translations like 'AI supervision' unless referring to direct oversight by authorities.
Gold Rule
Domain-Specific Meaning
AI监管's meaning shifts based on context: legal (compliance), technical (risk management), or business (corporate policy). Always check the surrounding text to determine the intended field.
Word Origin
AI监管 is a compound term combining 'AI' (artificial intelligence) with '监管' (regulation/governance). The term emerged in the 2010s alongside growing concerns about AI's societal impact, particularly in privacy, bias, and accountability.
Usage Notes
AI监管 is commonly used in policy discussions, corporate governance reports, and technical standards documents. It differs from broader 'technology regulation' by focusing specifically on AI systems' unique risks (e.g., algorithmic bias, autonomous decision-making).