Abstract
We propose a system that focuses on consensus building and agreement implementation as the basis for establishing AI trustworthiness. Our approach is new, and we have called it consensus building with an assurance case: it is based on applying open systems dependability engineering to the objective of achieving stakeholder accountability. The experimental validation of the proposed system was conducted on the issue of feature engineering within the context of a project on data-intensive medicine. Our findings show that the online nature of the proposed system is effective in facilitating stakeholders participation and contribution, and logging the consensus building process in a useful manner. Using this approach, stakeholders can achieve a logical understanding of the substance of the consensus and the process by which it was reached, thereby providing assurance that AI safety-related requirements are being met.
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References
The High-Level Expert Group on AI: Ethics Guidelines for Trustworthy AI, European Commission (2019)
Vought, R.T.: Guidance for Regulation of Artificial Intelligence Applications (2020)
Cabinet Secretariat of Japan: Social Principles of Human-centric AI (2019)
European Commission: White Paper on Artificial Intelligence – A European Approach to Excellence and Trust (2020)
European Commission: Proposal for a Regulation on a European Approach for Artificial Intelligence (2021)
Toulmin, S.: The Uses of Argument (Updated Edition), Cambridge University Press (2003)
Shneiderman, B.: Human-centered artificial intelligence: reliable, safe & trustworthy, arXiv.org. https://arxiv.org/abs/2002.04087v1. (Extract from forthcoming book by the same title), 23 February 2020
Brundage, M., et al.: Toward trustworthy AI development: mechanism for supporting verifiable claims. https://arxiv.org/abs/2004.07213v2 (2020)
Ashmore, R., Calinescu, R, Paterson, C.: Assuring the machine learning lifecycle: desiderata, methods, and challenges. https://arxiv.org/abs/1905.04223v1 (2019)
IEC 62853:2018 – Open Systems Dependability (2018)
ISO/IEC/IEEE 15288:2015 – Systems and Software Engineering - System Life Cycle Processes (2015)
Hernández-Orallo, J., et al.: AI paradigms and ai safety: mapping artefacts and techniques to safety issues. In: 24th ECAI (2020). https://ebooks.iospress.nl/volumearticle/55181
Yoshitake, K.: Reproductive Medicine on Consensus Building, in [16]. (in Japanese)
Susskind, L., McKearnan, S., Thomas-Larmer, J. (eds.): The Consensus Building Handbook - A Comprehensive Guide to Reaching Agreement. SAGE Publications (1999)
Potapchuk, W., Crocker, J.: Implementing Consensus-based Agreements, Ch.14 of [14]
Inohara, T. (ed.): Study on Consensus Building. Keiso Shobo, Tokyo (2011). (in Japanese)
Tokoro, M.(ed.): Open Systems Dependability: Dependability Engineering for Ever-Changing Systems, 2nd ed., CRC Press (2015)
Yamamoto, S., Matsuno, Y.: D-Case - Building Consensus and Achieving Accountability in [17]
Nakai, Y.: The creation and breakdown of mutual cooperation as a precondition for agreement, in [16]. (in Japanese)
Ministry of Health: Labour and Welfare, Act on the Arrangement of Related Acts to Promote Work Style Reform (2019)
Straus, D.A.: How to Make Collaboration Work: Powerful Ways to Build Consensus, Solve Problems, and Make Decisions. Berrett-Koehler (2002)
Yokote, Y., Nagayama, T., Yanagisawa, Y.: D-ADD - The Agreement Description Database, in [17]
Acknowledgments
The authors would like to thank Naoko Takanashi for her technical assistance implementing the CBAC-based support system, along with Akiko Hanai and Manami Kato, members of RIKEN, as stakeholders in our experimentation. This paper is partially supported by Innovation Platform for Society 5.0 from Japan’s Ministry of Education, Culture, Sports, Science and Technology.
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Yanagisawa, Y., Yokote, Y. (2021). A New Approach to Better Consensus Building and Agreement Implementation for Trustworthy AI Systems. In: Habli, I., Sujan, M., Gerasimou, S., Schoitsch, E., Bitsch, F. (eds) Computer Safety, Reliability, and Security. SAFECOMP 2021 Workshops. SAFECOMP 2021. Lecture Notes in Computer Science(), vol 12853. Springer, Cham. https://doi.org/10.1007/978-3-030-83906-2_26
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DOI: https://doi.org/10.1007/978-3-030-83906-2_26
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