Trust in Artificial Intelligence Analysis of the European Commission proposal for a Regulation of Artificial Intelligence

Q3 Social Sciences
Antonio Estella
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To answer these questions, this article proceeds as follows. I shall start by reflecting on the importance that trust has for society (section 2). From there, I will define what is to be understood in this paper by trust (section 3). I shall then review the basis of trust (section 4) and shall make a reference to the main sources of evidence on trust (like, surveys and laboratory experiments), and to some of the results that these sources reveal on interpersonal and institutional trust (section 5). In the next section (section 6), I shall go on to analyse specifically the issue of trust in AI, will refer to the existing evidence on the matter, and will review some of the most recent literature on this topic. In the remaining sections (sections 7 and 8), I will describe and analyse the European Commission's proposal for a regulation of AI, and in particular, the part of that proposal that deals with trust in AI. In the last section of this article, I will wrap up the whole argument of this paper and make some conclusions (section 9). The main argument that [End Page 39] will be developed in this paper is that it is inconsequential to speak of trust in AI systems. II. The Importance of Trust Trust has been defined by some authors as the \"lubricant of society\"2 and by others as \"a kind of glue that makes society function.\"3 Political scientists, economists, and also lawyers have recently centred their intellectual efforts on trying to understand how trust impacts economic growth, development, democracy, justice, and even interpersonal relationships. One particularly clear expression of this renewed interest in trust is the setting up by the OECD of a High Level Group on the measurement of economic performance and social progress.4 The Group started working in 2013. This group convened eight workshops during the years 2014 to 2016. The latest one took place in Paris in June 2016 and was titled: \"Measuring Trust and Social Capital.\" The outcome of this workshop was published in 2018, together with the rest of the reports of the other workshops that have been mentioned, under the title \"Trust and Social Capital.\"5 In this paper, Algan gives ample evidence of how trust is positively correlated with economic growth in general and with economic development in particular.6 The idea is that the more trustworthy a society is, the more it grows and develops in economic terms. The findings of this paper are important since this is the first time that an international institution like the OECD argues that trust should be a necessary component for the measuring of how the nations of the world grow in economic terms.7 [End Page 40] Click for larger view View full resolution Figure 1. Inter-personal trust and income per capita8 On the basis of the previous Figure 1, Algan argues that \"countries with higher levels of trust tend to have higher income.\" For example, Norway has very high levels of trust and has one of the highest incomes per capita of the countries that are included in the previous analysis. An opposite example would be Zimbabwe, with very low levels of interpersonal trust and comparatively low levels of income per capita. 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Abstract

Trust in Artificial Intelligence Analysis of the European Commission proposal for a Regulation of Artificial Intelligence Antonio Estella I. Introduction According to the European Commission, one of the main objectives of the regulatory framework that this EU institution is currently proposing in the field of Artificial Intelligence is to "increment trust in the use of artificial intelligence."1 Therefore, this paper explores the issue of trust and AI. The questions that it attempts to answer are the following. Why is trust important? Why is trust important, in particular, in the domain of AI? How does the EU Commission intend to achieve the objective of incrementing trust in the use of AI? Will the proposed regulatory framework achieve its proclaimed end? To answer these questions, this article proceeds as follows. I shall start by reflecting on the importance that trust has for society (section 2). From there, I will define what is to be understood in this paper by trust (section 3). I shall then review the basis of trust (section 4) and shall make a reference to the main sources of evidence on trust (like, surveys and laboratory experiments), and to some of the results that these sources reveal on interpersonal and institutional trust (section 5). In the next section (section 6), I shall go on to analyse specifically the issue of trust in AI, will refer to the existing evidence on the matter, and will review some of the most recent literature on this topic. In the remaining sections (sections 7 and 8), I will describe and analyse the European Commission's proposal for a regulation of AI, and in particular, the part of that proposal that deals with trust in AI. In the last section of this article, I will wrap up the whole argument of this paper and make some conclusions (section 9). The main argument that [End Page 39] will be developed in this paper is that it is inconsequential to speak of trust in AI systems. II. The Importance of Trust Trust has been defined by some authors as the "lubricant of society"2 and by others as "a kind of glue that makes society function."3 Political scientists, economists, and also lawyers have recently centred their intellectual efforts on trying to understand how trust impacts economic growth, development, democracy, justice, and even interpersonal relationships. One particularly clear expression of this renewed interest in trust is the setting up by the OECD of a High Level Group on the measurement of economic performance and social progress.4 The Group started working in 2013. This group convened eight workshops during the years 2014 to 2016. The latest one took place in Paris in June 2016 and was titled: "Measuring Trust and Social Capital." The outcome of this workshop was published in 2018, together with the rest of the reports of the other workshops that have been mentioned, under the title "Trust and Social Capital."5 In this paper, Algan gives ample evidence of how trust is positively correlated with economic growth in general and with economic development in particular.6 The idea is that the more trustworthy a society is, the more it grows and develops in economic terms. The findings of this paper are important since this is the first time that an international institution like the OECD argues that trust should be a necessary component for the measuring of how the nations of the world grow in economic terms.7 [End Page 40] Click for larger view View full resolution Figure 1. Inter-personal trust and income per capita8 On the basis of the previous Figure 1, Algan argues that "countries with higher levels of trust tend to have higher income." For example, Norway has very high levels of trust and has one of the highest incomes per capita of the countries that are included in the previous analysis. An opposite example would be Zimbabwe, with very low levels of interpersonal trust and comparatively low levels of income per capita. Algan acknowledges that there might be problems of reverse causality in analyses on the correlation between trust and economic growth: "one concern has been that this correlation … could go...
对人工智能的信任欧盟委员会人工智能监管提案分析
据欧盟委员会介绍,该欧盟机构目前在人工智能领域提出的监管框架的主要目标之一是“增加对人工智能使用的信任”。因此,本文探讨了信任与人工智能的问题。它试图回答的问题如下。为什么信任很重要?为什么信任很重要,尤其是在人工智能领域?欧盟委员会打算如何实现增加对人工智能使用信任的目标?拟议的监管框架能否达到其宣称的目的?为了回答这些问题,本文将按照以下步骤进行。我要先反思对社会信任的重要性(2节),从那里,我将定义什么是理解本文的信任(第三节)。我那么信任的基础复习(第四节),应当引用在信任证据的主要来源(如,调查和实验室实验),和一些结果,这些来源透露在人际关系和制度信任(第五节)。下一节(6节),我将继续具体分析人工智能中的信任问题,将参考有关该问题的现有证据,并将回顾有关该主题的一些最新文献。在其余部分(第7节和第8节)中,我将描述和分析欧盟委员会关于人工智能监管的提案,特别是该提案中涉及对人工智能信任的部分。在本文的最后一部分,我将总结本文的整个论点并得出一些结论(第9节)。本文将发展的主要论点是,在人工智能系统中谈论信任是无关紧要的。2信任的重要性信任被一些作者定义为“社会的润滑剂”,另一些人则将其定义为“一种使社会运转的粘合剂”。政治学家、经济学家和律师最近都把他们的智力努力集中在试图理解信任如何影响经济增长、发展、民主、正义,甚至人际关系上。3 .经合发组织设立了一个关于衡量经济业绩和社会进步的高级别小组,这特别清楚地表明了这种对信任的重新关注集团成立于2013年。该小组在2014年至2016年期间召开了八次研讨会。最近一次会议于2016年6月在巴黎举行,题为“衡量信任和社会资本”。该研讨会的成果与上述其他研讨会的其他报告一起于2018年发表,标题为“信任与社会资本”。在这篇论文中,Algan给出了充分的证据来证明信任是如何与经济增长,特别是经济发展呈正相关的其理念是,一个社会越值得信赖,它在经济方面的增长和发展就越快。这篇论文的发现很重要,因为这是像经合组织这样的国际机构第一次提出,信任应该是衡量世界各国经济增长方式的必要组成部分。7[结束第40页]点击查看大图查看全分辨率图1。人际信任与人均收入8在之前的图1的基础上,Algan认为“信任水平越高的国家往往收入也越高。”例如,挪威的信任度非常高,是前一次分析所包括的国家中人均收入最高的国家之一。一个相反的例子是津巴布韦,它的人际信任水平非常低,人均收入水平也相对较低。Algan承认,在分析信任与经济增长之间的相关性时,可能存在反向因果关系的问题:“一个担忧是,这种相关性……可能会……
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