{"title":"Algorithmic Discrimination From the Perspective of Human Dignity","authors":"Carsten Orwat","doi":"10.17645/si.7160","DOIUrl":null,"url":null,"abstract":"Applications of artificial intelligence, algorithmic differentiation, and automated decision‐making systems aim to improve the efficiency of decision‐making for differentiating persons. However, they may also pose new risks to fundamental rights, including the risk of discrimination and potential violations of human dignity. Anti‐discrimination law is not only based on the principles of justice and equal treatment but also aims to ensure the free development of one’s personality and the protection of human dignity. This article examines developments in AI and algorithmic differentiation from the perspective of human dignity. Problems addressed include the expansion of the reach of algorithmic decisions, the potential for serious, systematic, or structural discrimination, the phenomenon of statistical discrimination and the treatment of persons not as individuals, deficits in the regulation of automated decisions and informed consent, the creation and use of comprehensive and personality‐constituting personal and group profiles, and the increase in structural dominance.","PeriodicalId":37948,"journal":{"name":"Social Inclusion","volume":null,"pages":null},"PeriodicalIF":1.4000,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Social Inclusion","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.17645/si.7160","RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"SOCIAL SCIENCES, INTERDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Applications of artificial intelligence, algorithmic differentiation, and automated decision‐making systems aim to improve the efficiency of decision‐making for differentiating persons. However, they may also pose new risks to fundamental rights, including the risk of discrimination and potential violations of human dignity. Anti‐discrimination law is not only based on the principles of justice and equal treatment but also aims to ensure the free development of one’s personality and the protection of human dignity. This article examines developments in AI and algorithmic differentiation from the perspective of human dignity. Problems addressed include the expansion of the reach of algorithmic decisions, the potential for serious, systematic, or structural discrimination, the phenomenon of statistical discrimination and the treatment of persons not as individuals, deficits in the regulation of automated decisions and informed consent, the creation and use of comprehensive and personality‐constituting personal and group profiles, and the increase in structural dominance.
期刊介绍：
Social Inclusion is a peer-reviewed open access journal, which provides academics and policy-makers with a forum to discuss and promote a more socially inclusive society. The journal encourages researchers to publish their results on topics concerning social and cultural cohesiveness, marginalized social groups, social stratification, minority-majority interaction, cultural diversity, national identity, and core-periphery relations, while making significant contributions to the understanding and enhancement of social inclusion worldwide. Social Inclusion aims at being an interdisciplinary journal, covering a broad range of topics, such as immigration, poverty, education, minorities, disability, discrimination, and inequality, with a special focus on studies which discuss solutions, strategies and models for social inclusion. Social Inclusion invites contributions from a broad range of disciplinary backgrounds and specializations, inter alia sociology, political science, international relations, history, cultural studies, geography, media studies, educational studies, communication science, and language studies. We welcome conceptual analysis, historical perspectives, and investigations based on empirical findings, while accepting regular research articles, review articles, commentaries, and reviews.
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