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Artificial Intelligence and Law: What Do People Really Want?: Example of a French Multidisciplinary Working Group

Published: 17 June 2019 Publication History

Abstract

This paper addresses issues related to the ethical consequences of using AI technologies in court decisions. With the prodigious technological leap made in the field of artificial intelligence in recent years, disruptive innovations have affected many business sectors, with economic, social and ethical consequences.
But what do people really want about the application of artificial intelligence technologies in the law system? This article presents a general methodological approach to take into account the ethical aspect of the introduction of a new technology in a given domain. We apply this methodology in the specific case of the introduction of AI technologies in the law system. As a multidisciplinary working group interested in this application in the case of France, we have organized a series of workshops to discuss this topic and highlight the respective values and interests of each stakeholder. The result of this work in presented in the form of an ethical matrix that can be used as a tool by the public authorities to help decision-making on the subject with a prioritization of certain values in order to reflect the respect for fundamental rights.

References

[1]
Nazmiye Ceren Abay, Yan Zhou, Murat Kantarcioglu, Bhavani M. Thuraisingham, and Latanya Sweeney. 2018. Privacy Preserving Synthetic Data Release Using Deep Learning. In Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part I (Lecture Notes in Computer Science), Michele Berlingerio, Francesco Bonchi, Thomas Gärtner, Neil Hurley, and Georgiana Ifrim (Eds.), Vol. 11051. Springer, 510--526.
[2]
Charu C. Aggarwal and Philip S. Yu (Eds.). 2008. Privacy-Preserving Data Mining--Models and Algorithms. Advances in Database Systems, Vol. 34. Springer.
[3]
Michael Anderson and Susan Leigh Anderson (Eds.). 2011. Machine Ethics. Cambridge University Press, New York, NY.
[4]
Trevor J. M. Bench-Capon, Michal Araszkiewicz, Kevin D. Ashley, Katie Atkinson, Floris Bex, Filipe Borges, Danièle Bourcier, Paul Bourgine, Jack G. Conrad, Enrico Francesconi, Thomas F. Gordon, Guido Governatori, Jochen L. Leidner, David D. Lewis, Ronald Prescott Loui, L. Thorne McCarty, Henry Prakken, Frank Schilder, Erich Schweighofer, Paul Thompson, Alex Tyrrell, Bart Verheij, Douglas N. Walton, and Adam Z. Wyner. 2012. A history of AI and Law in 50 papers: 25 years of the international conference on AI and Law. Artificial Intelligence and Law 20, 3 (2012), 215--319.
[5]
Julien Deonna and Emma Tieffenbach (Eds.). 2018. Petit Traité des valeurs. Editions d'Ithaque, Paris.
[6]
Alberto Fernández, Salvador García, Mikel Galar, Ronaldo C. Prati, Bartosz Krawczyk, and Francisco Herrera. 2018. Learning from Imbalanced Data Sets. Springer.
[7]
European Commission for the Efficiency of Justice (CEPEJ). 2018. European Ethical Charter on the Use of Artificial Intelligence in Judicial Systems and their environment. https://rm.coe.int/ethical-charter-en-for-publication-4-december-2018/16808f699c
[8]
Haibo He and Edwardo A. Garcia. 2009. Learning from Imbalanced Data. IEEE Transactions on Knowledge and Data Engineering 21, 9 (September 2009), 1263--1284.
[9]
Matthias Kaiser, Kate Millar, Erik Thorstensen, and Sandy Tomkins. 2007. Developing the ethical matrix as a decision support framework: GM fish as a case study. Journal of Agricultural and Environmental Ethics 20 (2007), 65--80.
[10]
Ben Mepham. 2000. A framework for the ethical analysis of novel foods: the ethical matrix. Journal of Agricultural and Environmental Ethics 12, Issue 2 (2000), 165--176.
[11]
Ben Mepham. 2010. The Ethical Matrix as a Tool in Policy Interventions: The Obesity Crisis. Springer New York, New York, NY, 17--29.
[12]
Ben Mepham, Matthias Kaiser, Erik Thorstensen, Sandy Tomkins, and Kate Millar. 2006. Ethical Matrix Manual. Technical Report. LEI, The Hague. https://estframe.net/ethical_bio_ta_tools_project/content_2/text_2c81d261-b7a8-43e8-8f1e-d724b43e2ba3/1346076649086/et2_manual_em_binnenwerk_45p.pdf
[13]
Cathy O'Neil. 2016. Weapons of Math Destruction --How Big Data Increases Inequality and Threatens Democracy. Crown Books, New York, NY.
[14]
John Rawls. 1951. Outline of a Decision Procedure for Ethics. The Philosophical Review 60, 2 (April 1951), 177--197.
[15]
Doris Schroeder and Clare Palmer. 2003. Technology assessment and the 'ethical matrix'. Poiesis & Praxis 1, 4 (2003), 295--307.
[16]
Shalom H. Schwartz. 1992. Universals in the content and structure of values: theoretical advances and empirical tests in 20 countries. In Advances in Experimental Social Psychology, Mark P. Zanna (Ed.), Vol. 25. Academic Press, San Diego, 1--65.

Cited By

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  • (2020)Perceived and Measured Task Effectiveness in Human-AI CollaborationExtended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3334480.3383104(1-9)Online publication date: 25-Apr-2020
  • (2020)A Methodology for Ethics-by-Design AI Systems: Dealing with Human Value Conflicts2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)10.1109/SMC42975.2020.9283185(1310-1315)Online publication date: 11-Oct-2020

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cover image ACM Conferences
ICAIL '19: Proceedings of the Seventeenth International Conference on Artificial Intelligence and Law
June 2019
312 pages
ISBN:9781450367547
DOI:10.1145/3322640
Permission to make digital or hard copies of all or part 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 components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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  • Univ. of Montreal: University of Montreal
  • AAAI
  • IAAIL: Intl Asso for Artifical Intel & Law

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 June 2019

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Author Tags

  1. artificial intelligence
  2. ethical matrix
  3. justice
  4. value

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Overall Acceptance Rate 69 of 169 submissions, 41%

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Cited By

View all
  • (2020)Perceived and Measured Task Effectiveness in Human-AI CollaborationExtended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3334480.3383104(1-9)Online publication date: 25-Apr-2020
  • (2020)A Methodology for Ethics-by-Design AI Systems: Dealing with Human Value Conflicts2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)10.1109/SMC42975.2020.9283185(1310-1315)Online publication date: 11-Oct-2020

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