{"title":"数字不平等:背景问题和解决方案","authors":"Laura Robinson, Massimo Ragnedda, J. Schulz","doi":"10.1108/jices-05-2020-0064","DOIUrl":null,"url":null,"abstract":"This issue of JICES is devoted to an increasingly important social problem that has been called the digital divide, digital inequalities and digital inclusion. No matter the name, the social problem remains the same: individuals, groups and collectivities are disenfranchised from the benefits of digital technologies. We open this issue of JICES with an editorial commentary by Simon Rogerson who reminds us that digital divides are not sui generis but are part of larger inequalities. Rogerson pinpoints the crucial linkage between digital divides and larger social divides: “There have always been social divides predicated upon, for example, poverty, education, gender and status”. At the same time, Rogerson reminds us of the importance of those fighting the good fight to create a more just and humane society for all, especially for ordinary people who are “digital outcasts”. The terminology outcast is telling – as much for those suffering from it as for those responsible for it. Indeed, these individuals and groups have been cast out and cast aside by powerful actors, governmental and private, who are unwilling or unable to create digital inclusion for these ordinary people. These ordinary people are worthy of empathy and inclusion simply by virtue of their membership in the greatest collectivity: humanity. With this in mind, we have assembled scholars working to bring the excluded into the fold and problematize the social problem with an eye to solutions across several foci: emergent forms of inequality, health and disability, causes and consequences and finally solutions and responses. We begin our examination with emergent forms of inequality with “Risking Identity: A Case Study of Jamaica’s Short-lived National ID System” by Hopeton S. Dunn. Dunn walks us through how Jamaica was the first country to legislate the use of AI and modern data science to create a national database of the identities of all Jamaican citizens. In 2019, AI and biometric data were being used to reestablish a national identification system. The move was deemed unconstitutional by the Jamaican Supreme Court because of its violation of citizens’ privacy, as well as Jamaica’s Charter of Rights within its constitution. Significantly, Dunn warns that this case study offers insight into new forms of inequality created by the use of biometric data and faulty AI in tandem with inadequate privacy measures to protect sensitive personal data: “The highly intrusive level of biometric data being demanded, the compulsory nature of the plan, criminal sanctions for non-compliance and the absence of adequate technical or legislative safeguards for data protection”. Dunn’s work is an indicator of emergent forms of digital inequality that are complex and increasingly driven by institutions, governments and corporations, whose power is so great that it threatens the autonomy of individuals. The next article also draws our attention to the new power dynamics animating the frontier of digital inequalities research: “Distributed Pool Mining and Digital Inequalities, From Cryptocurrency to Scientific Research” by Hanna Kreitem and Massimo Ragnedda. Exploring the new relationships between consumption and production, Kreitem and Ragnedda make the case that: “The advent of models that reward the use of computer power with value lowers the need for personal data collection vital in the attention economy models [. . .]. In this new revolutionary context, many features and aspects are changing, including the attention Guest editorial","PeriodicalId":156416,"journal":{"name":"J. Inf. Commun. Ethics Soc.","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Digital inequalities: contextualizing problems and solutions\",\"authors\":\"Laura Robinson, Massimo Ragnedda, J. 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The terminology outcast is telling – as much for those suffering from it as for those responsible for it. Indeed, these individuals and groups have been cast out and cast aside by powerful actors, governmental and private, who are unwilling or unable to create digital inclusion for these ordinary people. These ordinary people are worthy of empathy and inclusion simply by virtue of their membership in the greatest collectivity: humanity. With this in mind, we have assembled scholars working to bring the excluded into the fold and problematize the social problem with an eye to solutions across several foci: emergent forms of inequality, health and disability, causes and consequences and finally solutions and responses. We begin our examination with emergent forms of inequality with “Risking Identity: A Case Study of Jamaica’s Short-lived National ID System” by Hopeton S. Dunn. Dunn walks us through how Jamaica was the first country to legislate the use of AI and modern data science to create a national database of the identities of all Jamaican citizens. In 2019, AI and biometric data were being used to reestablish a national identification system. The move was deemed unconstitutional by the Jamaican Supreme Court because of its violation of citizens’ privacy, as well as Jamaica’s Charter of Rights within its constitution. Significantly, Dunn warns that this case study offers insight into new forms of inequality created by the use of biometric data and faulty AI in tandem with inadequate privacy measures to protect sensitive personal data: “The highly intrusive level of biometric data being demanded, the compulsory nature of the plan, criminal sanctions for non-compliance and the absence of adequate technical or legislative safeguards for data protection”. 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引用次数: 6
摘要
本期JICES致力于讨论一个日益重要的社会问题,即数字鸿沟、数字不平等和数字包容。不管名字是什么,社会问题都是一样的:个人、团体和集体被剥夺了享受数字技术带来的好处的权利。我们以西蒙·罗杰森(Simon Rogerson)的一篇社论作为本期JICES的开篇,他提醒我们,数字鸿沟不是自成一体的,而是更大的不平等的一部分。罗杰森指出了数字鸿沟和更大的社会鸿沟之间的关键联系:“社会鸿沟一直是基于贫困、教育、性别和地位等因素而存在的。”与此同时,罗杰森提醒我们,那些为所有人,特别是那些“数字弃儿”的普通人,创造一个更加公正和人道的社会而奋斗的人的重要性。“被抛弃”这个词很能说明问题——无论是对那些遭受这种痛苦的人,还是对那些对此负有责任的人。事实上,这些个人和群体被强大的政府和私人行为者抛弃和抛弃,他们不愿或无法为这些普通人创造数字包容。这些普通人值得同情和包容,仅仅因为他们是人类这个最伟大的集体的成员。考虑到这一点,我们召集了一些学者,致力于将被排斥者纳入其中,并将社会问题问题化,着眼于解决几个重点问题:新出现的不平等形式、健康和残疾、原因和后果,以及最后的解决办法和对策。我们从Hopeton S. Dunn的《冒着身份的风险:牙买加短命国民身份系统的案例研究》开始对新兴形式的不平等进行考察。邓恩带领我们了解牙买加是如何成为第一个立法使用人工智能和现代数据科学来创建所有牙买加公民身份的国家数据库的国家。2019年,人工智能和生物识别数据被用于重建国家身份识别系统。这一举动被牙买加最高法院认定为违宪,因为它侵犯了公民的隐私,也违反了牙买加宪法中的《权利宪章》。重要的是,邓恩警告说,这个案例研究提供了对新形式的不平等的洞察,这种不平等是由生物特征数据和有缺陷的人工智能的使用,以及保护敏感个人数据的隐私措施不足造成的:“要求提供高度侵入性的生物特征数据,该计划的强制性,对不合规的刑事制裁,以及缺乏足够的数据保护技术或立法保障。”邓恩的研究是新兴形式的数字不平等的一个指标,这种不平等很复杂,越来越多地受到机构、政府和企业的推动,它们的权力如此之大,以至于威胁到个人的自主权。下一篇文章也引起了我们对数字不平等研究前沿的新权力动态的关注:Hanna Kreitem和Massimo Ragnedda的“分布式池挖掘和数字不平等,从加密货币到科学研究”。在探索消费和生产之间的新关系时,Kreitem和Ragnedda提出了这样的观点:“对计算机能力的使用进行价值奖励的模型的出现,降低了对注意力经济模型中至关重要的个人数据收集的需求……”在这个新的革命性的背景下,许多特征和方面正在发生变化,包括对来宾社论的关注
Digital inequalities: contextualizing problems and solutions
This issue of JICES is devoted to an increasingly important social problem that has been called the digital divide, digital inequalities and digital inclusion. No matter the name, the social problem remains the same: individuals, groups and collectivities are disenfranchised from the benefits of digital technologies. We open this issue of JICES with an editorial commentary by Simon Rogerson who reminds us that digital divides are not sui generis but are part of larger inequalities. Rogerson pinpoints the crucial linkage between digital divides and larger social divides: “There have always been social divides predicated upon, for example, poverty, education, gender and status”. At the same time, Rogerson reminds us of the importance of those fighting the good fight to create a more just and humane society for all, especially for ordinary people who are “digital outcasts”. The terminology outcast is telling – as much for those suffering from it as for those responsible for it. Indeed, these individuals and groups have been cast out and cast aside by powerful actors, governmental and private, who are unwilling or unable to create digital inclusion for these ordinary people. These ordinary people are worthy of empathy and inclusion simply by virtue of their membership in the greatest collectivity: humanity. With this in mind, we have assembled scholars working to bring the excluded into the fold and problematize the social problem with an eye to solutions across several foci: emergent forms of inequality, health and disability, causes and consequences and finally solutions and responses. We begin our examination with emergent forms of inequality with “Risking Identity: A Case Study of Jamaica’s Short-lived National ID System” by Hopeton S. Dunn. Dunn walks us through how Jamaica was the first country to legislate the use of AI and modern data science to create a national database of the identities of all Jamaican citizens. In 2019, AI and biometric data were being used to reestablish a national identification system. The move was deemed unconstitutional by the Jamaican Supreme Court because of its violation of citizens’ privacy, as well as Jamaica’s Charter of Rights within its constitution. Significantly, Dunn warns that this case study offers insight into new forms of inequality created by the use of biometric data and faulty AI in tandem with inadequate privacy measures to protect sensitive personal data: “The highly intrusive level of biometric data being demanded, the compulsory nature of the plan, criminal sanctions for non-compliance and the absence of adequate technical or legislative safeguards for data protection”. Dunn’s work is an indicator of emergent forms of digital inequality that are complex and increasingly driven by institutions, governments and corporations, whose power is so great that it threatens the autonomy of individuals. The next article also draws our attention to the new power dynamics animating the frontier of digital inequalities research: “Distributed Pool Mining and Digital Inequalities, From Cryptocurrency to Scientific Research” by Hanna Kreitem and Massimo Ragnedda. Exploring the new relationships between consumption and production, Kreitem and Ragnedda make the case that: “The advent of models that reward the use of computer power with value lowers the need for personal data collection vital in the attention economy models [. . .]. In this new revolutionary context, many features and aspects are changing, including the attention Guest editorial