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Compliance patterns: harnessing value modeling and legal interpretation to manage regulatory conversations

Published: 12 June 2017 Publication History

Abstract

Companies must be able to demonstrate that their way of doing business is compliant with relevant rules and regulations. However, the law often has open texture; it is generic and needs to be interpreted before it can be applied in a specific case. Entrepreneurs generally lack the expertise to engage in the regulatory conversations that make up this interpretation process. In particular for the application domain of technological startups, this leads to legal risks. This research seeks to develop a robust module for legal interpretation. We apply informal logic to bridge the gap between the principles of interpretation in legal theory with the legal rules that determine compliance of business processes. Accordingly, interpretive arguments characterized by argument schemes are applied to business models represented by value modeling (VDML). The specific outcome of the argumentation process (if any) is then summarized into a compliance pattern, in a context-problem-solution format. A case study from copyright law, about an internet television company, shows that the approach is able to express the legal arguments of the case, but is also understandable for the target audience.

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  • (2022)Thirty years of Artificial Intelligence and Law: the second decadeArtificial Intelligence and Law10.1007/s10506-022-09326-730:4(521-557)Online publication date: 8-Aug-2022
  • (2021)Integrating value modeling and legal risk management: an IT case studyInformation Systems and e-Business Management10.1007/s10257-021-00543-220:1(27-55)Online publication date: 9-Nov-2021
  • (2020)Breaking Silos of Legal and Regulatory Risks to Outperform Traditional Compliance ApproachesEuropean Journal on Criminal Policy and Research10.1007/s10610-020-09468-xOnline publication date: 12-Sep-2020
  • Show More Cited By

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    cover image ACM Conferences
    ICAIL '17: Proceedings of the 16th edition of the International Conference on Articial Intelligence and Law
    June 2017
    299 pages
    ISBN:9781450348911
    DOI:10.1145/3086512
    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 ACM 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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    Published: 12 June 2017

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    1. compliance patterns
    2. legal interpretation
    3. value modeling

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    View all
    • (2022)Thirty years of Artificial Intelligence and Law: the second decadeArtificial Intelligence and Law10.1007/s10506-022-09326-730:4(521-557)Online publication date: 8-Aug-2022
    • (2021)Integrating value modeling and legal risk management: an IT case studyInformation Systems and e-Business Management10.1007/s10257-021-00543-220:1(27-55)Online publication date: 9-Nov-2021
    • (2020)Breaking Silos of Legal and Regulatory Risks to Outperform Traditional Compliance ApproachesEuropean Journal on Criminal Policy and Research10.1007/s10610-020-09468-xOnline publication date: 12-Sep-2020
    • (2019)Substantive Legal Software QualityProceedings of the Seventeenth International Conference on Artificial Intelligence and Law10.1145/3322640.3326706(52-62)Online publication date: 17-Jun-2019
    • (2018)Using artificial intelligence to support compliance with the general data protection regulationArtificial Intelligence and Law10.1007/s10506-017-9206-925:4(429-443)Online publication date: 26-Dec-2018

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