Artificial intelligence, Digital Single Market and the proposal of a right to fair and reasonable inferences: a legal issue between ethics and techniques
Artificial intelligence, Digital Single Market and the proposal of a right to fair and reasonable inferences: a legal issue between ethics and techniques
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人工智能、数字单一市场以及公平合理推论权的提议：道德与技术之间的法律问题
DOI：
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
Amanda Nunes Lopes Espiñeira Lemos
中科院分区：
文献类型：
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作者：
Alexandre Veronese;Alessandra Silveira;Amanda Nunes Lopes Espiñeira Lemos
本文讨论了人工智能(以下简称人工智能)应用的伦理和技术后果，以及它们对欧盟数据保护法律框架的使用，以使公民能够针对它们进行自卫。这一目标是在更大的欧盟数字单一市场政策下实现的，该政策对这一主题与个人数据保护的关系表示担忧。本文共分四个部分。第一个问题通过描述人工智能应用在当代世界场景中的重要性来介绍主要问题。第二章描述了有关人工智能的一些基本概念。第三部分分析了欧盟关于人工智能的现行政策和欧洲委员会关于在司法系统中适用于人工智能的伦理建议。第四部分是结论，根据欧盟法律，特别是《一般数据保护条例》，对现行保护公民免受全自动决策影响的法律机制进行了讨论。结论将是，在为其公民提供有效保护，使其免受不公平或不合理的自动推理的影响方面，欧盟法律仍在建设中。
The article discusses the ethical and technical consequences of Artificial intelligence (hereinafter, A.I) applications and their usage of the European Union data protection legal framework to enable citizens to defend themselves against them. This goal is under the larger European Union Digital Single Market policy, which has concerns about how this subject correlates with personal data protection. The article has four sections. The first one introduces the main issue by describing the importance of AI applications in the contemporary world scenario. The second one describes some fundamental concepts about AI. The third section has an analysis of the ongoing policies for AI in the European Union and the Council of Europe proposal about ethics applicable to AI in the judicial systems. The fourth section is the conclusion, which debates the current legal mechanisms for citizens protection against fully automated decisions, based on European Union Law and in particular the General Data Protection Regulation. The conclusion will be that European Union Law is still under construction when it comes to providing effective protection to its citizens against automated inferences that are unfair or unreasonable.