Implementation of the EU AI act calls for interdisciplinary governance

IF 2.5 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Ai Magazine Pub Date : 2024-07-19 DOI:10.1002/aaai.12183
Huixin Zhong
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Abstract

The European Union Parliament passed the EU AI Act in 2024, which is an important milestone towards the world's first comprehensive AI law to formally take effect. Although this is a significant achievement, the real work begins with putting these rules into action, a journey filled with challenges and opportunities. This perspective article reviews recent interdisciplinary research aimed at facilitating the implementation of the prohibited AI practices outlined in the EU AI Act. It also explores the necessary future efforts to effectively enforce the banning of those prohibited practices across the EU market and the challenges associated with such enforcement. Addressing these future tasks and challenges calls for the establishment of an interdisciplinary governance framework. This framework may contain a workflow that can identify the necessary expertise and coordinate experts’ collaboration at different stages of AI governance. Additionally, it involves developing and implementing a set of compliance and ethical safeguards to ensure effective management and supervision of AI practices.

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实施欧盟人工智能法案需要跨学科管理
欧盟议会于 2024 年通过了《欧盟人工智能法》,这是世界上第一部正式生效的全面人工智能法律的重要里程碑。虽然这是一项重大成就,但真正的工作始于将这些规则付诸行动,这是一段充满挑战和机遇的旅程。本视角文章回顾了近期旨在促进实施欧盟人工智能法案中列出的禁止人工智能做法的跨学科研究。文章还探讨了未来在欧盟市场上有效执行这些禁止行为的必要努力,以及与此类执行相关的挑战。应对这些未来任务和挑战需要建立一个跨学科治理框架。该框架可能包含一个工作流程,可以确定必要的专业知识,并协调专家在人工智能治理不同阶段的合作。此外,它还涉及制定和实施一套合规和道德保障措施,以确保对人工智能实践进行有效管理和监督。
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来源期刊
Ai Magazine
Ai Magazine 工程技术-计算机:人工智能
CiteScore
3.90
自引率
11.10%
发文量
61
审稿时长
>12 weeks
期刊介绍: AI Magazine publishes original articles that are reasonably self-contained and aimed at a broad spectrum of the AI community. Technical content should be kept to a minimum. In general, the magazine does not publish articles that have been published elsewhere in whole or in part. The magazine welcomes the contribution of articles on the theory and practice of AI as well as general survey articles, tutorial articles on timely topics, conference or symposia or workshop reports, and timely columns on topics of interest to AI scientists.
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Issue Information AI fairness in practice: Paradigm, challenges, and prospects Toward the confident deployment of real-world reinforcement learning agents Towards robust visual understanding: A paradigm shift in computer vision from recognition to reasoning Efficient and robust sequential decision making algorithms
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