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CSET:决策者如何可信地揭示和评估人工智能领域的意图(2023)(英文版)(66页).pdf

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1、Issue BriefOctober 2023DecodingIntentionsArtificial Intelligence and Costly SignalsAuthorsAndrew ImbrieOwen J.DanielsHelen Toner Center for Security and Emerging Technology|1 Executive Summary How can policymakers credibly reveal and assess intentions in the field of artificial intelligence?AI techn

2、ologies are evolving rapidly and enable a wide range of civilian and military applications.Private sector companies lead much of the innovation in AI,but their motivations and incentives may diverge from those of the state in which they are headquartered.As governments and companies compete to deplo

3、y evermore capable systems,the risks of miscalculation and inadvertent escalation will grow.Understanding the full complement of policy tools to prevent misperceptions and communicate clearly is essential for the safe and responsible development of these systems at a time of intensifying geopolitica

4、l competition.In this brief,we explore a crucial policy lever that has not received much attention in the public debate:costly signals.Costly signals are statements or actions for which the sender will pay a price political,reputational,or monetaryif they back down or fail to make good on their init

5、ial promise or threat.Drawing on a review of the scholarly literature,we highlight four costly signaling mechanisms and apply them to the field of AI(summarized in Table 1):Tying hands involves the strategic deployment of public commitments before a foreign or domestic audience,such as unilateral AI

6、 policy statements,votes in multilateral bodies,or public commitments to test and evaluate AI models;Sunk costs rely on commitments whose costs are priced in from the start,such as licensing and registration requirements for AI algorithms or large-scale investments in test and evaluation infrastruct

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本文主要探讨了在人工智能领域如何可信地传达和评估意图。文章指出,人工智能技术迅速发展,其民用和军事应用范围广泛,私营公司主导大部分创新,但其动机和激励可能与总部所在国的不同。随着政府和公司竞相部署更强大的系统,误判和无意升级的风险将增加。理解完整的政策工具以防止误解和清晰沟通至关重要。 文章提出了一种关键的政策手段——代价高昂的信号,即发送者如果退缩或未能履行初始承诺或威胁,将付出政治、声誉或金钱代价的声明或行动。文章总结了四种代价高昂的信号机制,并将其应用于人工智能领域,包括:束缚双手、沉没成本、分期付款成本和可减少的成本。 文章通过三个案例研究探讨了人工智能中的代价高昂的信号。第一个案例研究考虑了军事人工智能和自主武器的信号。第二个案例研究检查了政府关于民主人工智能的信号,即在人工智能的设计、开发和部署中嵌入对人权、公民自由、数据保护和隐私的承诺。第三个案例研究分析了私营部门关于大型语言模型(LLM)的开发和发布的信号。 文章强调,代价高昂的信号对于促进国际稳定是有价值的,但必须理解它们的优点和局限性。在当今竞争和多方面的信息环境中,信号的发送者和接收者众多,误判的机会无处不在。因此,公共和私营部门领导者必须小心地将信号嵌入连贯的战略中。
如何在人工智能领域中可信地传达和评估意图? 人工智能技术如何影响国际稳定性和误判风险? 如何在人工智能领域中使用代价高昂的信号来传达意图?
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