聚焦生成式AI风险，提出标准制定关键关注领域
AI Horizon Scanning, White Paper p3395, IEEE-SA. Part I: Areas of Attention
- 通过趋势扫描识别AI标准建设重点方向
- 指出云依赖过重可能引发全球基础设施连锁故障
- 适合政策制定者与标准开发者参考
生成式人工智能可能带来深远社会变革，亟需在机遇与风险间寻求平衡。本文是《IEEE-SA p3995标准：人工智能模型防护措施、管控与预防技术实施指南》系列白皮书的第一篇，旨在为标准制定提供信息支持。文中梳理了监管原则，探讨问责、隐私、数据权利及滥用问题。作为防护性标准，重点关注全球基础设施稳定性，警惕因高度耦合的AI组件导致对云服务过度依赖。以2024年7月类似级联失效的Crowdstrike事件为例，说明未来AI相关事故对关键基础设施的潜在影响。本系列后续文章将聚焦监管举措、技术演进及特定领域中的AI应用。
原文摘要 · Abstract (English)
Generative Artificial Intelligence (AI) models may carry societal transformation to an extent demanding a delicate balance between opportunity and risk. This manuscript is the first of a series of White Papers informing the development of IEEE-SA's p3995: `Standard for the Implementation of Safeguards, Controls, and Preventive Techniques for Artificial Intelligence (AI) Models', Chair: Marina Cortês (https://standards.ieee.org/ieee/3395/11378/). In this first horizon-scanning we identify key attention areas for standards activities in AI. We examine different principles for regulatory efforts, and review notions of accountability, privacy, data rights and mis-use. As a safeguards standard we devote significant attention to the stability of global infrastructures and consider a possible overdependence on cloud computing that may result from densely coupled AI components. We review the recent cascade-failure-like Crowdstrike event in July 2024, as an illustration of potential impacts on critical infrastructures from AI-induced incidents in the (near) future. It is the first of a set of articles intended as White Papers informing the audience on the standard development. Upcoming articles will focus on regulatory initiatives, technology evolution and the role of AI in specific domains.
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