{"title":"Contracts and computers","authors":"Damon Mackett","doi":"10.1080/02580136.2023.2206202","DOIUrl":null,"url":null,"abstract":"This article explores a new form of epistemic injustice related to computers and data mining in our interconnected world. I argue that data mining, as it is currently practiced, not only perpetuates but also contributes to a moral injustice primarily driven by economic factors. By employing Gaile Pohlhaus’s theoretical framework, the paper establishes criteria that classify data mining as a form of epistemic injustice (P1) and demonstrates its differentiation from other known forms in existing literature (P2). Through a comprehensive analysis of data mining’s alignment with these criteria, the article highlights its unique nature and draws attention to its previously overlooked manifestation of epistemic injustice. By comparing data mining to established forms of epistemic injustice, this research underscores the urgent need for a critical examination of this ethical dilemma arising from technological advancements.","PeriodicalId":44834,"journal":{"name":"SOUTH AFRICAN JOURNAL OF PHILOSOPHY","volume":"41 1","pages":"386 - 400"},"PeriodicalIF":0.2000,"publicationDate":"2022-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SOUTH AFRICAN JOURNAL OF PHILOSOPHY","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/02580136.2023.2206202","RegionNum":3,"RegionCategory":"哲学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"PHILOSOPHY","Score":null,"Total":0}
引用次数: 0
Abstract
This article explores a new form of epistemic injustice related to computers and data mining in our interconnected world. I argue that data mining, as it is currently practiced, not only perpetuates but also contributes to a moral injustice primarily driven by economic factors. By employing Gaile Pohlhaus’s theoretical framework, the paper establishes criteria that classify data mining as a form of epistemic injustice (P1) and demonstrates its differentiation from other known forms in existing literature (P2). Through a comprehensive analysis of data mining’s alignment with these criteria, the article highlights its unique nature and draws attention to its previously overlooked manifestation of epistemic injustice. By comparing data mining to established forms of epistemic injustice, this research underscores the urgent need for a critical examination of this ethical dilemma arising from technological advancements.
期刊介绍:
The South African Journal of Philosophy (SAJP) is the official publication of the Philosophical Society of South Africa. The aim of the journal is to publish original scholarly contributions in all areas of philosophy at an international standard. Contributions are double-blind peer-reviewed and include articles, discussions of articles previously published, review articles and book reviews. The wide scope of the South African Journal of Philosophy makes it the continent''s central vehicle for the publication of general philosophical work. The journal is accredited with the South African Department of Higher Education and Training.