数据保护和人工智能法律:欧洲、澳大利亚、新加坡——一个实际的或感知的二分法?

Robert Walters, Matthew Coghlan
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引用次数: 3

摘要

人工智能(AI)发展如此迅速,政策制定者、监管机构、政府和法律界都在努力跟上它的步伐。然而,人工智能并不新鲜,它已经被使用了二十多年。再加上人工智能、个人数据以及网络安全法,现有法律框架带来的挑战可谓巨大。在某种程度上,它们彼此不一致,做着截然不同的事情。本文探讨了澳大利亚、欧洲和新加坡出现的一些挑战。个人数据和人工智能之间相互关系的挑战可以说始于谁制造了人工智能。其次,谁拥有人工智能。另一个挑战是如何定义人工智能。大多数人都能够理解人工智能是什么,以及它如何开始影响经济和我们的日常生活。然而,由于人工智能是如此模糊,因此没有明确的法律定义。这个蓬勃发展的法律领域将挑战社会、隐私专家、监管机构和技术创新者,因为两者之间的冲突仍在继续。此外,人工智能收集个人数据挑战了责任所在的概念。也就是说,人工智能可能会在技术链的不同节点收集、使用和披露个人数据。它将强调当前的数据保护法律如何在很大程度上抑制其发展,而不是促进人工智能项目。本文确定了数据保护法和人工智能之间的一些紧张关系。本文认为,迫切需要详细了解与数据保护和人工智能相关的机会、法律和道德问题。这样做将确保附属于这两个法律领域的经济、社会和人权问题之间的持续平衡。
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Data Protection and Artificial Intelligence Law: Europe Australia Singapore - An Actual or Perceived Dichotomy?
Artificial Intelligence (AI) is moving so rapidly policy makers, regulators, governments and the legal profession are struggling to keep up. However, AI is not new and it has been used for more than two decades. Coupled with AI, personal data, along with cyber security law, and the challenges posed by the current legal frameworks are nothing short of immense. They are, in part, at odds with each other, and are doing very different things. This paper explores some of the challenges emerging in Australia, Europe and Singapore. The challenge of the interrelationship between personal data and AI arguably begins with who has manufactured the AI. Secondly who owns the AI. Another challenge that has also emerged is defining AI. Most people are able to understand what AI is and how it is beginning to impact the economy and our daily lives. However, there is no clear legal definition of AI, because AI is so nebulous. This burgeoning area of law is going to challenge society, privacy experts, regulators, innovators of technology, as there continues to be a collision between the two. Furthermore, the collection of personal data by AI challenges the notion of where responsibility lies. That is, AI may collect, use and disclose personal data at different points along the technology chain. It will be highlighted how the current data protection laws rather than promote AI projects, largely inhibit its development. This paper identifies some of the tensions between data protection law and AI. This paper argues that there is a need for an urgent and detailed understanding of the opportunities, legal and ethical issues associated with data protection and AI. Doing so will ensure an ongoing balance between the economic, social and human rights issues that are attached to the two areas of the law.
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