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The moral limits of the market: the case of consumer scoring data

Pham, Adam ; Castro, Clinton

Ethics and Information Technology, Jun 2019, Vol.21(2), pp.117-126 [Tạp chí có phản biện]

ISSN: 13881957 ; E-ISSN: 15728439 ; DOI: 10.1007/s10676-019-09500-7

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  • Nhan đề:
    The moral limits of the market: the case of consumer scoring data
  • Tác giả: Pham, Adam ; Castro, Clinton
  • Chủ đề: Scoring ; Markets ; Big Data ; Regulation ; Credit Scoring ; Ethics ; Heuristic ; Ethics ; Human Behavior ; Consumers ; Criteria ; Data Ethics ; Philosophy of Economics ; Moral Limits of Markets ; Business Ethics
  • Là 1 phần của: Ethics and Information Technology, Jun 2019, Vol.21(2), pp.117-126
  • Mô tả: We offer an ethical assessment of the market for data used to generate what are sometimes called “consumer scores” (i.e., numerical expressions that are used to describe or predict people’s dispositions and behavior), and we argue that the assessment has ethical implications on how the market for consumer scoring data should be regulated. To conduct the assessment, we employ two heuristics for evaluating markets. One is the “harm” criterion, which relates to whether the market produces serious harms, either for participants in the market, for third parties, or for society as a whole. The other is the “agency” criterion, which relates to whether participants understand the nature and significance of the exchanges they are making, if they can be guaranteed fair representation, or if there is differential need for the market’s good. We argue that consumer scoring data should be subject to the same sort of regulation as the older FICO credit scores. Although the movement in the 1990s that was aimed at regulating the FICO scores was not aimed at restraining a market per se, we argue that the reforms were underwritten by concerns about the same sorts of problems as those outlined by our heuristics. Therefore, consumer data should be subject to the same sort of regulation.
  • Ngôn ngữ: English
  • Số nhận dạng: ISSN: 13881957 ; E-ISSN: 15728439 ; DOI: 10.1007/s10676-019-09500-7

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