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Legal Regulations, Implications, and Issues Surrounding Digital Data最新文献

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A Matter of Perspective 观点的问题
Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-3130-3.ch010
K. Miller
The challenge presented is an age when some decisions are made by humans, some are made by AI, and some are made by a combination of AI and humans. For the person refused housing, a phone service, or employment, the experience is the same, but the ability to understand what has happened and obtain a remedy may be very different if the discrimination is attributable to or contributed by an AI system. If we are to preserve the policy intentions of our discrimination, equal opportunity, and human rights laws, we need to understand how discrimination arises in AI systems; how design in AI systems can mitigate such discrimination; and whether our existing laws are adequate to address discrimination in AI. This chapter endeavours to provide this understanding. In doing so, it focuses on narrow but advanced forms of artificial intelligence, such as natural language processing, facial recognition, and cognitive neural networks.
我们面临的挑战是,在这个时代,一些决策是由人类做出的,一些是由人工智能做出的,还有一些是由人工智能和人类共同做出的。对于被拒绝住房、电话服务或就业的人来说,经历是一样的,但如果歧视是由人工智能系统造成或促成的,那么理解发生了什么并获得补救的能力可能会大不相同。如果我们要保留歧视、平等机会和人权法的政策意图,我们需要了解歧视是如何在人工智能系统中产生的;人工智能系统的设计如何减轻这种歧视;以及我们现有的法律是否足以解决人工智能中的歧视问题。本章试图提供这种理解。在此过程中,它专注于狭隘但先进的人工智能形式,如自然语言处理、面部识别和认知神经网络。
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引用次数: 6
Use of Big Data Analytics by Tax Authorities 税务机关使用大数据分析
Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-3130-3.ch005
Brendan Walker-Munro
This chapter provides a thematic analysis for the Australian context of the legality and challenges to the use of big data analytics to identify risk, conduct compliance action, and make decisions within the tax administration space. Recent federal court jurisprudence and research is discussed to identify common themes (i.e., privacy/opacity, inaccuracy/bias, and fairness/due process) currently influencing the legal treatment of big data analytics within the tax administration and compliance environment in Australia.
本章对澳大利亚的税收管理领域中使用大数据分析来识别风险、实施合规行动和做出决策的合法性和挑战进行了专题分析。讨论了最近联邦法院的判例和研究,以确定目前影响澳大利亚税务管理和合规环境中大数据分析的法律处理的共同主题(即隐私/不透明,不准确/偏见和公平/正当程序)。
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引用次数: 1
Smart Contracts 聪明的合同
Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-3130-3.ch007
M. Laubscher, Muhammed Siraaj Khan
When Nick Szabo pioneered the idea of a smart contract in the 1990s, the economic and communications infrastructure available at that time could not and did not support the protocols needed to execute and apply smart contracts. While smart contracts may be viewed as an example of the use of blockchain and blockchain technology which offers great opportunities to the field of law; others are more sceptical. The use of smart contracts in law is anything but straightforward, but this should not deter jurists from investigating the opportunities this instrument offers. This chapter aims to provide an overview of smart contacts, explaining how they work, the ways they differ from written contracts, their legal status, and the advantages and disadvantages associated with using them. Finally, it identifies the main challenges facing businesses and the legal profession with regard to the expanding use of smart contacts.
当Nick Szabo在20世纪90年代率先提出智能合约的想法时,当时可用的经济和通信基础设施不能也不支持执行和应用智能合约所需的协议。虽然智能合约可以被视为使用区块链和区块链技术的一个例子,为法律领域提供了巨大的机会;其他人则持怀疑态度。在法律中使用智能合约一点也不简单,但这不应该阻止法学家调查这种工具提供的机会。本章旨在概述智能合约,解释它们的工作原理,它们与书面合同的不同之处,它们的法律地位,以及使用它们的优缺点。最后,它确定了企业和法律专业在扩大智能联系人的使用方面面临的主要挑战。
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引用次数: 0
Robots 机器人
Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-3130-3.ch008
Migle Laukyte
More and more often legal scholars notice that developments in robotics are becoming increasingly relevant from a legal point of view. This chapter critically assesses the current debate in the regulation of artificial intelligence (AI)-based robotics, whose scope should be seen as part of a wider debate that concerns AI. Indeed, what interests legal scholars are those robots that are able to act autonomously and intelligently, that is, robots embedded with AI. The chapter looks at such robots from the twofold perspective: on the one hand, robot as a product (and therefore the chapter refers to consumer protection) and, on the other hand, robot as entity (and therefore it addresses robot rights). The chapter also includes a brief overview of some of the initiatives to regulate AI and robotics interpreting the nuances so as to extract some ideas on national priorities in this regard.
越来越多的法律学者注意到,从法律的角度来看,机器人技术的发展正变得越来越重要。本章批判性地评估了当前关于基于人工智能(AI)的机器人监管的辩论,其范围应被视为有关人工智能的更广泛辩论的一部分。事实上,法律学者感兴趣的是那些能够自主智能行动的机器人,即嵌入人工智能的机器人。这一章从两个角度来看待这样的机器人:一方面,机器人作为一种产品(因此这一章涉及到消费者保护),另一方面,机器人作为实体(因此它解决了机器人的权利)。本章还简要概述了一些规范人工智能和机器人技术的举措,解释了其中的细微差别,以便在这方面提取一些关于国家优先事项的想法。
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引用次数: 1
Regulating AI 人工智能调节
Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-3130-3.ch009
Margaret A. Jackson
Artificial intelligence (AI) is already being used in many different sectors and industries globally. These areas include government (help desks, sending demand letters), health (predicative diagnosis), law (predicative policing and sentencing), education (facial recognition), finance (for share trading), advertising (social media), retail (recommendations), transport (drones), smart services (like electricity meters), and so on. At this stage, the AI in use or being proposed is ‘narrow' AI and not ‘general' AI, which means that it has been designed for a specific purpose, say, to advise on sentencing levels or to select potential candidates for interview, rather than being designed to learn and do new things, like a human. The question we need to explore is not whether regulation of AI is needed but how such regulation can be achieved. This chapter examines which existing regulations can apply to AI, which will need to be amended, and which areas might need new regulation to be introduced. Both national and international regulation will be discussed; Australia is the main focus.
人工智能(AI)已经在全球许多不同的部门和行业中得到应用。这些领域包括政府(服务台、发送需求信)、健康(预测性诊断)、法律(预测性警务和量刑)、教育(面部识别)、金融(股票交易)、广告(社交媒体)、零售(推荐)、运输(无人机)、智能服务(如电表)等等。在这个阶段,正在使用或正在提出的人工智能是“狭义”人工智能,而不是“通用”人工智能,这意味着它是为特定目的而设计的,比如,为量刑水平提供建议或选择潜在的候选人进行面试,而不是像人类一样被设计用来学习和做新事物。我们需要探讨的问题不是是否需要对人工智能进行监管,而是如何实现这种监管。本章探讨了哪些现有法规可以适用于人工智能,哪些需要修改,哪些领域可能需要引入新的法规。将讨论国内和国际监管;澳大利亚是主要的焦点。
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引用次数: 2
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Legal Regulations, Implications, and Issues Surrounding Digital Data
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