人类自主面临风险?分析人工智能带来的挑战

IF 4.2 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Minds and Machines Pub Date : 2024-06-24 DOI:10.1007/s11023-024-09665-1
Carina Prunkl
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引用次数: 0

摘要

自主是许多社会在道德、法律和政治实践中根深蒂固的核心价值观。人工智能(AI)的发展和应用提出了人工智能对人类自主性影响的新问题。然而,对这些影响的系统性评估仍然很少,而且往往是在个案基础上进行的。在本文中,我提供了一个概念框架,它既能将看似互不相关的人类自主性问题联系在一起,又能突出它们之间的差异。在第一部分中,我区分了目前在 "人类自主权 "这一总括术语下所涉及的不同关注点。特别是,我将展示如何区分作为真实性的自主性和作为代理性的自主性,以帮助我们确定人工智能部署所面临的不同挑战。其中一些挑战已广为人知(如在线操纵或自由限制),而另一些挑战(如自适应偏好形成)则少有人关注。在第二部分中,我将讨论人工智能系统在自主性背景下可能扮演的不同角色。特别是,我区分了人工智能系统扮演的代理角色和人工智能系统作为工具的角色。我的结论是,虽然没有 "灵丹妙药 "可以解决对人类自主性的担忧,但考虑其各个层面可以帮助我们系统地应对相关风险。
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Human Autonomy at Risk? An Analysis of the Challenges from AI

Autonomy is a core value that is deeply entrenched in the moral, legal, and political practices of many societies. The development and deployment of artificial intelligence (AI) have raised new questions about AI’s impacts on human autonomy. However, systematic assessments of these impacts are still rare and often held on a case-by-case basis. In this article, I provide a conceptual framework that both ties together seemingly disjoint issues about human autonomy, as well as highlights differences between them. In the first part, I distinguish between distinct concerns that are currently addressed under the umbrella term ‘human autonomy’. In particular, I show how differentiating between autonomy-as-authenticity and autonomy-as-agency helps us to pinpoint separate challenges from AI deployment. Some of these challenges are already well-known (e.g. online manipulation or limitation of freedom), whereas others have received much less attention (e.g. adaptive preference formation). In the second part, I address the different roles AI systems can assume in the context of autonomy. In particular, I differentiate between AI systems taking on agential roles and AI systems being used as tools. I conclude that while there is no ‘silver bullet’ to address concerns about human autonomy, considering its various dimensions can help us to systematically address the associated risks.

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来源期刊
Minds and Machines
Minds and Machines 工程技术-计算机:人工智能
CiteScore
12.60
自引率
2.70%
发文量
30
审稿时长
>12 weeks
期刊介绍: Minds and Machines, affiliated with the Society for Machines and Mentality, serves as a platform for fostering critical dialogue between the AI and philosophical communities. With a focus on problems of shared interest, the journal actively encourages discussions on the philosophical aspects of computer science. Offering a global forum, Minds and Machines provides a space to debate and explore important and contentious issues within its editorial focus. The journal presents special editions dedicated to specific topics, invites critical responses to previously published works, and features review essays addressing current problem scenarios. By facilitating a diverse range of perspectives, Minds and Machines encourages a reevaluation of the status quo and the development of new insights. Through this collaborative approach, the journal aims to bridge the gap between AI and philosophy, fostering a tradition of critique and ensuring these fields remain connected and relevant.
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