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Regulating 'Social Scores' in Data-Driven Societies

Published:03 April 2019Publication History

ABSTRACT

This paper investigates the development of 'social scores' in three influential jurisdictions: the EU, the US and China. The paper contends that the legal and regulatory framework in which this practice takes place is a significant factor influencing potential successes as well as perils stemming from it. As such, the paper adopts a comparative approach, through a cross-case analysis introducing recent developments across the three influential jurisdictions in focus. In doing so, the paper seeks to identify common practices as well as differences in the development of an innovative practice with -- potentially -- far reaching consequences onto the lives of millions, irrespective of cultural, social and legal backgrounds. In this poster paper, the bases on which the paper stands from a contextual and legal-regulatory perspectives are presented.

References

  1. Citron, Danielle Keats and Pasquale, Frank A., The Scored Society: Due Process for Automated Predictions (2014). Washington Law Review, Vol. 89, 2014, p. 1-; U of Maryland Legal Studies Research Paper No. 2014-8. Available at SSRN: https://ssrn.com/abstract=2376209Google ScholarGoogle Scholar
  2. Farmer R. (2015) Web Reputation Systems and the Real World. In: Masum H and Tovey M (eds) The Reputation Society: how online opinions are reshaping the offline world. Cambridge: MIT Press.Google ScholarGoogle Scholar
  3. Malvar P. (2018) AI Ethics and The New Digital Divide. In: insideBIGDATA Newsletter: AI Deep Learning. insidebigdata.com: Inside Big Data. Retrieved November 1, 2018 from https://insidebigdata.com/2018/06/20/ai-ethics-new-digital-divide/Google ScholarGoogle Scholar
  4. Masum H and Tovey M. (2012) Reputation society: how online opinions are reshaping the offline world, Cambridge: MIT Press. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Packin, Nizan Geslevich and Lev Aretz, Yafit, On Social Credit and the Right to Be Unnetworked (February 5, 2016). Columbia Business Law Review 339 (2016). Available at SSRN:Google ScholarGoogle Scholar
  6. Restrepo Amariles D and Lewkowicz G. (2017) De la donnée à la décision: comment réguler par les données et les algorithmes. In: Bouzeghoub M and Mosseri R (eds) Les big data à découvert. Paris: CNRS Editions.Google ScholarGoogle Scholar
  7. Williams A. (2016) How Facebook can affect your credit score. The Financial Times. London: Financial Times.Google ScholarGoogle Scholar
  8. Youyou W, Kosinski M and Stillwell D. (2015) Computer-based personality judgments are more accurate than those made by humans. Proceedings of the National Academy of Sciences 112: 1036--1040.Google ScholarGoogle ScholarCross RefCross Ref
  9. Botsman, R. (2018). Who can you trust?: how technology brought us together -- and why it could drive us apart. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Pasquale, F. (2016). The black box society: the secret algorithms that control money and information. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Regulating 'Social Scores' in Data-Driven Societies

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        • Published in

          cover image ACM Other conferences
          ICEGOV '19: Proceedings of the 12th International Conference on Theory and Practice of Electronic Governance
          April 2019
          538 pages
          ISBN:9781450366441
          DOI:10.1145/3326365

          Copyright © 2019 Owner/Author

          Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 3 April 2019

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          • poster
          • Research
          • Refereed limited

          Acceptance Rates

          ICEGOV '19 Paper Acceptance Rate81of171submissions,47%Overall Acceptance Rate350of865submissions,40%
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