【聚焦AI监管】
AI 监管的主要关注点可归纳为三类：安全问题、治理问题和滥用问题。
Under these categories fall a range of pressing issues — accuracy, bias, privacy, intellectual property, and transparency.
在这些类别之下，涵盖了一系列紧迫问题——准确性、偏见、隐私、知识产权和透明度。
The prevalence of bias is worrisome, for instance, when AI is used for sensitive decisions like hiring or lending, and there are challenges to transparency in that decision-making.
例如，当 AI 用于招聘或贷款等敏感性决策时，偏见的普遍存在不免令人忧心，同时决策过程的透明度也面临挑战。
Governance would also have to address issues such as data privacy and concentration of market power.
在治理方面还需要解决数据隐私、市场权力集中等问题。
Abuses could take the form of deliberate misuse of AI systems, such as misinformation, deepfakes, and cybersecurity abuses.
滥用问题则表现在故意违法违规使用AI，比如散播虚假信息、深度伪造和危害网络安全等。
【点击英文标题可听原文朗读】
聚焦AI监管
Regulating AI: Getting the Balance Right
AI监管：把握平衡之道
人工智能如何监管
How AI Regulation Rules Actually Work
AI监管法规如何落地
Kenya’s AI Bill Creates a New Digital Sheriff with Sweeping Powers
肯尼亚AI法案设立全权“数字警长”
The 2026 Global AI Regulation Landscape
2026全球人工智能监管格局
【竞赛报名】
报名链接：https://new.saikr.com/vse/WOWTtranslation2026
