Öz
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.
Anahtar Kelimeler
Artificial Intelligence Management Systems Iso42001:2023 Iso27001:2022
Kaynakça
- 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
Öz
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.
Anahtar Kelimeler
Artificial Intelligence Management Systems Iso42001:2023 Iso27001:2022
Kaynakça
- 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
Ayrıntılar
| Birincil Dil | İngilizce |
|---|---|
| Konular | Yapay Zeka (Diğer) |
| Bölüm | Araştırma Makalesi |
| Yazarlar | |
| Gönderilme Tarihi | 30 Mayıs 2025 |
| Kabul Tarihi | 10 Haziran 2025 |
| Erken Görünüm Tarihi | 16 Haziran 2025 |
| Yayımlanma Tarihi | 16 Haziran 2025 |
| Yayımlandığı Sayı | Yıl 2025 Cilt: 5 Sayı: 1 |
Cited By
Inteligência artificial no gerenciamento de processos de negócio: Desafios, oportunidades e estratégias para alinhamento à ISO 42001
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https://doi.org/10.1080/19393555.2025.2575773
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