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Exploring the Impact of ISO/IEC 42001:2023 AI Management Standard on Organizational Practices

Year 2025, Volume: 5 Issue: 1, 14 - 22, 16.06.2025
https://doi.org/10.54569/aair.1709628

Abstract

This paper examines the technical, operational, and strategic impacts of implementing the ISO/IEC 42001:2023 Artificial Intelligence (AI) Management System standard, which is a critical factor for companies adapting to the transformative effects of AI technologies in the business world. Aimed at ensuring the ethical and reliable governance of AI systems, this standard assists organizations in developing transparent, unbiased, fair and sustainable AI solutions. The framework provided by ISO/IEC 42001:2023 is also discussed in terms of its benefits in critical areas such as data security, operational efficiency, regulatory compliance and competitive advantage. In this context, it is emphasized that companies can adopt AI applications not only as a technical innovation but also as a strategic management element. The integration processes between ISO/IEC 42001:2023 AI Management System and ISO/IEC 27001:2022 Information Security Management System are presented, highlighting how these two standards complement each other. An analysis is provided on how principles of information security, risk management, and transparency can be effectively implemented within AI systems. In conclusion, the adoption of the ISO/IEC 42001:2023 AI management system enables companies to manage AI applications within a secure and ethical framework while achieving a sustainable competitive advantage in their digital transformation processes.

References

  • Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., & Vayena, E. (2018). AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations. Minds and Machines, 28(4), 689-707.
  • Jobin, A., Ienca, M., & Vayena, E. (2019). The Global Landscape of AI Ethics Guidelines. Nature Machine Intelligence, 1(9), 389-399.
  • Wirtz, B. W., Weyerer, J. C., & Geyer, C. (2020). Artificial Intelligence and the Public Sector Applications and Challenges. International Journal of Public Administration, 42(7), 596-615.
  • ISO/IEC 42001:2023 Standard, https://www.iso.org/standard/81230.html
  • IEEE. (2023). Ethically Aligned Design: Prioritizing Human Well-being with AI, https://sagroups.ieee.org/global-initiative/wp-content/uploads/sites/542/2023/01/ead1e-overview.pdf
  • ISO/IEC 27001:2022 Standard, https://www.iso.org/standard/27001
  • Brynjolfsson, E., & McAfee, A. (2017). The Business of Artificial Intelligence: What It Can and Cannot Do for Your Organization. Harvard Business Review.
  • European Commission. (2024). Regulation on Artificial Intelligence (AI Act), https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A32024R1689
  • Topol, E. (2019). Deep Medicine: How AI Can Make Healthcare Human Again, Basic Books, Inc. HarperCollins.
  • PwC. (2023). AI Governance and Corporate Strategy, https://www.pwc.com
  • OECD (2024). Artificial Intelligence, https://www.oecd.org/en/topics/artificial-intelligence.html
  • NIST. (2021). Artificial Intelligence Risk Management Framework, https://www.nist.gov/itl/ai-risk-management-framework/ai-rmf-development
  • McKinsey & Company (2022). The State of AI, https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2022-and-a-half-decade-in-review
  • Deloitte (2023). AI Governance in practice: A Framework for Trustworthy AI, https://www2.deloitte.com/us/en/pages/technology/articles/trustworthy-ai-governance-in-practice.html
  • Kotter, J. P. (2012). Leading Change, Harvard Business Review Press.
  • GDPR (2018). General Data Protection Regulation, https://gdpr-info.eu/
  • UNESCO. (2023). AI in Education: Bridging the Skill Gap, https://www.unesco.org/en/digital-education/artificial-intelligence
  • Biroğul, S. (2024). Iso/Iec 27001:2022 Bilgi Güvenliği Yönetim Sistemi Uygulayıcılarına/ Denetçilerine Yönelik El Rehberi ve Vaka Örnekleri, Nobel Yayın

Exploring the Impact of ISO/IEC 42001:2023 AI Management Standard on Organizational Practices

Year 2025, Volume: 5 Issue: 1, 14 - 22, 16.06.2025
https://doi.org/10.54569/aair.1709628

Abstract

This paper examines the technical, operational, and strategic impacts of implementing the ISO/IEC 42001:2023 Artificial Intelligence (AI) Management System standard, which is a critical factor for companies adapting to the transformative effects of AI technologies in the business world. Aimed at ensuring the ethical and reliable governance of AI systems, this standard assists organizations in developing transparent, unbiased, fair and sustainable AI solutions. The framework provided by ISO/IEC 42001:2023 is also discussed in terms of its benefits in critical areas such as data security, operational efficiency, regulatory compliance and competitive advantage. In this context, it is emphasized that companies can adopt AI applications not only as a technical innovation but also as a strategic management element. The integration processes between ISO/IEC 42001:2023 AI Management System and ISO/IEC 27001:2022 Information Security Management System are presented, highlighting how these two standards complement each other. An analysis is provided on how principles of information security, risk management, and transparency can be effectively implemented within AI systems. In conclusion, the adoption of the ISO/IEC 42001:2023 AI management system enables companies to manage AI applications within a secure and ethical framework while achieving a sustainable competitive advantage in their digital transformation processes.

References

  • Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., & Vayena, E. (2018). AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations. Minds and Machines, 28(4), 689-707.
  • Jobin, A., Ienca, M., & Vayena, E. (2019). The Global Landscape of AI Ethics Guidelines. Nature Machine Intelligence, 1(9), 389-399.
  • Wirtz, B. W., Weyerer, J. C., & Geyer, C. (2020). Artificial Intelligence and the Public Sector Applications and Challenges. International Journal of Public Administration, 42(7), 596-615.
  • ISO/IEC 42001:2023 Standard, https://www.iso.org/standard/81230.html
  • IEEE. (2023). Ethically Aligned Design: Prioritizing Human Well-being with AI, https://sagroups.ieee.org/global-initiative/wp-content/uploads/sites/542/2023/01/ead1e-overview.pdf
  • ISO/IEC 27001:2022 Standard, https://www.iso.org/standard/27001
  • Brynjolfsson, E., & McAfee, A. (2017). The Business of Artificial Intelligence: What It Can and Cannot Do for Your Organization. Harvard Business Review.
  • European Commission. (2024). Regulation on Artificial Intelligence (AI Act), https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A32024R1689
  • Topol, E. (2019). Deep Medicine: How AI Can Make Healthcare Human Again, Basic Books, Inc. HarperCollins.
  • PwC. (2023). AI Governance and Corporate Strategy, https://www.pwc.com
  • OECD (2024). Artificial Intelligence, https://www.oecd.org/en/topics/artificial-intelligence.html
  • NIST. (2021). Artificial Intelligence Risk Management Framework, https://www.nist.gov/itl/ai-risk-management-framework/ai-rmf-development
  • McKinsey & Company (2022). The State of AI, https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2022-and-a-half-decade-in-review
  • Deloitte (2023). AI Governance in practice: A Framework for Trustworthy AI, https://www2.deloitte.com/us/en/pages/technology/articles/trustworthy-ai-governance-in-practice.html
  • Kotter, J. P. (2012). Leading Change, Harvard Business Review Press.
  • GDPR (2018). General Data Protection Regulation, https://gdpr-info.eu/
  • UNESCO. (2023). AI in Education: Bridging the Skill Gap, https://www.unesco.org/en/digital-education/artificial-intelligence
  • Biroğul, S. (2024). Iso/Iec 27001:2022 Bilgi Güvenliği Yönetim Sistemi Uygulayıcılarına/ Denetçilerine Yönelik El Rehberi ve Vaka Örnekleri, Nobel Yayın
There are 18 citations in total.

Details

Primary Language English
Subjects Artificial Intelligence (Other)
Journal Section Research Articles
Authors

Serdar Biroğul 0000-0003-4966-5970

Özkan Şahin 0000-0001-5341-1274

Hüseyn əsgərli 0009-0006-9465-1067

Early Pub Date June 16, 2025
Publication Date June 16, 2025
Submission Date May 30, 2025
Acceptance Date June 10, 2025
Published in Issue Year 2025 Volume: 5 Issue: 1

Cite

IEEE S. Biroğul, Ö. Şahin, and H. əsgərli, “Exploring the Impact of ISO/IEC 42001:2023 AI Management Standard on Organizational Practices”, Adv. Artif. Intell. Res., vol. 5, no. 1, pp. 14–22, 2025, doi: 10.54569/aair.1709628.

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