Trustworthy AI: A Fuzzy-Multiple Method for Evaluating Ethical Principles in AI Regulations

Oksana Adamyk; Bogdan Adamyk; Oksana Chereshnyuk; Serhii Rylieiev

doi:10.1109/ACIT58437.2023.10275505

Trustworthy AI: A Fuzzy-Multiple Method for Evaluating Ethical Principles in AI Regulations

Oksana Adamyk, Bogdan Adamyk, Oksana Chereshnyuk, Serhii Rylieiev

Operations & Information Management

Research output: Chapter in Book/Published conference output › Conference publication

Abstract

In this study, we investigated the ethical principles of trustworthy AI and differentiated five prime factors essential for developing trust in AI and most widely presented in regulatory guidelines worldwide. By utilizing Fuzzy Logic Toolbox in MATLAB 9.4, we evaluated the impact of primary ethical principles on trustworthy AI systems in a systematic and structured manner. We discovered that the principle of Fairness and Non-discrimination is the most influential for the development of trustworthy AI, as it is the most represented in the regulatory guidelines. The proposed model offers two main benefits for developers and deployers of AI systems, including predicting the potential public trust in AI systems and assessment compliance with the regulatory frameworks. To ensure the continued trustworthiness of AI systems, the model should be used at all stages of the software life circle, including during development, before placing the system on the market, and at the stage of use to monitor compliance with the safeguards declared to users.

Original language	English
Title of host publication	2023 13th IEEE International Conference on Advanced Computer Information Technologies. Wrocław, POLAND, 21-23 September 2023
Place of Publication	Wroclaw, Poland
Publisher	IEEE
Pages	608-613
Number of pages	6
Volume	1
Edition	1
ISBN (Electronic)	979-8-3503-1167-9
ISBN (Print)	979-8-3503-1168-6
DOIs	https://doi.org/10.1109/ACIT58437.2023.10275505
Publication status	Published - 17 Oct 2023
Event	13th International Conference on Advanced Computer Information Technologies - Wrocław, Poland Duration: 21 Sept 2023 → 23 Sept 2023 http://acit.wunu.edu.ua/

Publication series

Name	2023 13th International Conference on Advanced Computer Information Technologies, ACIT 2023 - Proceedings

Conference

Conference	13th International Conference on Advanced Computer Information Technologies
Abbreviated title	ACIT 2023
Country/Territory	Poland
City	Wrocław
Period	21/09/23 → 23/09/23
Internet address	http://acit.wunu.edu.ua/

Keywords

artificial intelligence
ethical principles of AI
regulation
trust
trustworthy AI

Access to Document

10.1109/ACIT58437.2023.10275505

Cite this

Adamyk, O., Adamyk, B., Chereshnyuk, O., & Rylieiev, S. (2023). Trustworthy AI: A Fuzzy-Multiple Method for Evaluating Ethical Principles in AI Regulations. In 2023 13th IEEE International Conference on Advanced Computer Information Technologies. Wrocław, POLAND, 21-23 September 2023 (1 ed., Vol. 1, pp. 608-613). (2023 13th International Conference on Advanced Computer Information Technologies, ACIT 2023 - Proceedings). IEEE. https://doi.org/10.1109/ACIT58437.2023.10275505

Adamyk, Oksana ; Adamyk, Bogdan ; Chereshnyuk, Oksana et al. / Trustworthy AI: A Fuzzy-Multiple Method for Evaluating Ethical Principles in AI Regulations. 2023 13th IEEE International Conference on Advanced Computer Information Technologies. Wrocław, POLAND, 21-23 September 2023. Vol. 1 1. ed. Wroclaw, Poland : IEEE, 2023. pp. 608-613 (2023 13th International Conference on Advanced Computer Information Technologies, ACIT 2023 - Proceedings).

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abstract = "In this study, we investigated the ethical principles of trustworthy AI and differentiated five prime factors essential for developing trust in AI and most widely presented in regulatory guidelines worldwide. By utilizing Fuzzy Logic Toolbox in MATLAB 9.4, we evaluated the impact of primary ethical principles on trustworthy AI systems in a systematic and structured manner. We discovered that the principle of Fairness and Non-discrimination is the most influential for the development of trustworthy AI, as it is the most represented in the regulatory guidelines. The proposed model offers two main benefits for developers and deployers of AI systems, including predicting the potential public trust in AI systems and assessment compliance with the regulatory frameworks. To ensure the continued trustworthiness of AI systems, the model should be used at all stages of the software life circle, including during development, before placing the system on the market, and at the stage of use to monitor compliance with the safeguards declared to users.",

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Adamyk, O, Adamyk, B, Chereshnyuk, O & Rylieiev, S 2023, Trustworthy AI: A Fuzzy-Multiple Method for Evaluating Ethical Principles in AI Regulations. in 2023 13th IEEE International Conference on Advanced Computer Information Technologies. Wrocław, POLAND, 21-23 September 2023. 1 edn, vol. 1, 2023 13th International Conference on Advanced Computer Information Technologies, ACIT 2023 - Proceedings, IEEE, Wroclaw, Poland, pp. 608-613, 13th International Conference on Advanced Computer Information Technologies , Wrocław, Poland, 21/09/23. https://doi.org/10.1109/ACIT58437.2023.10275505

Trustworthy AI: A Fuzzy-Multiple Method for Evaluating Ethical Principles in AI Regulations. / Adamyk, Oksana; Adamyk, Bogdan; Chereshnyuk, Oksana et al.
2023 13th IEEE International Conference on Advanced Computer Information Technologies. Wrocław, POLAND, 21-23 September 2023. Vol. 1 1. ed. Wroclaw, Poland: IEEE, 2023. p. 608-613 (2023 13th International Conference on Advanced Computer Information Technologies, ACIT 2023 - Proceedings).

Research output: Chapter in Book/Published conference output › Conference publication

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AU - Adamyk, Oksana

AU - Adamyk, Bogdan

AU - Chereshnyuk, Oksana

AU - Rylieiev, Serhii

PY - 2023/10/17

Y1 - 2023/10/17

N2 - In this study, we investigated the ethical principles of trustworthy AI and differentiated five prime factors essential for developing trust in AI and most widely presented in regulatory guidelines worldwide. By utilizing Fuzzy Logic Toolbox in MATLAB 9.4, we evaluated the impact of primary ethical principles on trustworthy AI systems in a systematic and structured manner. We discovered that the principle of Fairness and Non-discrimination is the most influential for the development of trustworthy AI, as it is the most represented in the regulatory guidelines. The proposed model offers two main benefits for developers and deployers of AI systems, including predicting the potential public trust in AI systems and assessment compliance with the regulatory frameworks. To ensure the continued trustworthiness of AI systems, the model should be used at all stages of the software life circle, including during development, before placing the system on the market, and at the stage of use to monitor compliance with the safeguards declared to users.

AB - In this study, we investigated the ethical principles of trustworthy AI and differentiated five prime factors essential for developing trust in AI and most widely presented in regulatory guidelines worldwide. By utilizing Fuzzy Logic Toolbox in MATLAB 9.4, we evaluated the impact of primary ethical principles on trustworthy AI systems in a systematic and structured manner. We discovered that the principle of Fairness and Non-discrimination is the most influential for the development of trustworthy AI, as it is the most represented in the regulatory guidelines. The proposed model offers two main benefits for developers and deployers of AI systems, including predicting the potential public trust in AI systems and assessment compliance with the regulatory frameworks. To ensure the continued trustworthiness of AI systems, the model should be used at all stages of the software life circle, including during development, before placing the system on the market, and at the stage of use to monitor compliance with the safeguards declared to users.

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T2 - 13th International Conference on Advanced Computer Information Technologies

Y2 - 21 September 2023 through 23 September 2023

ER -

Adamyk O, Adamyk B, Chereshnyuk O, Rylieiev S. Trustworthy AI: A Fuzzy-Multiple Method for Evaluating Ethical Principles in AI Regulations. In 2023 13th IEEE International Conference on Advanced Computer Information Technologies. Wrocław, POLAND, 21-23 September 2023. 1 ed. Vol. 1. Wroclaw, Poland: IEEE. 2023. p. 608-613. (2023 13th International Conference on Advanced Computer Information Technologies, ACIT 2023 - Proceedings). doi: 10.1109/ACIT58437.2023.10275505

Trustworthy AI: A Fuzzy-Multiple Method for Evaluating Ethical Principles in AI Regulations

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