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AI and International Stability: Risks and Confidence-Building Mea...

人工智能与国际稳定:风险与建立信任措施

【作       者】:

Michael C. Horowitz、Paul Schar...

【机       构】: 新美国安全中心
【承研机构】:

【英文机构】: Center for a New American Security
【原文地址】: https://www.cnas.org/publications/reports/ai-and-international-stability-risks-and-confidence-building-measures
【发表时间】:

2021-08-23

摘要

Militaries around the world believe that the integration of machine learning methods throughout their forces could improve their effectiveness. From algorithms to aid in recruiting and promotion, to those designed for surveillance and early warning, to those used directly on the battlefield, applications of artificial intelligence (AI) could shape the future character of warfare. These uses could also generate significant risks for international stability. These risks relate to broad facets of AI that could shape warfare, limits to machine learning methods that could increase the risks of inadvertent conflict, and specific mission areas, such as nuclear operations, where the use of AI could be dangerous. To reduce these risks and promote international stability, we explore the potential use of confidence-building measures (CBMs), constructed around the shared interests that all countries have in preventing inadvertent war. Though not a panacea, CBMs could create standards for information-sharing and notifications about AIenabled systems that make inadvertent conflict less likely.

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