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ITILĀ® AI Governance: Practical AI Governance for Responsible, Trusted Adoption

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Date Published
24 Aug 2026
Priority Score
2
Australian
Yes
Created
24 Aug 2026, 06:03 am

Authors (1)

Description

Practical AI governance for responsible, trusted adoption.

Summary

This white paper addresses the limitations of traditional IT governance frameworks when applied to the unique risks and complexities of artificial intelligence. It introduces the ITIL 6C model to help organizations identify AI capabilities and systematically manage risks across ethics, data, and regulatory compliance. While focusing on enterprise-level implementation rather than existential threats, the framework contributes to global safety discourse by promoting standardized accountability and risk management protocols. Such governance structures are essential precursors for monitoring and controlling frontier AI capabilities within corporate environments to prevent localized harms.

Body

AI is transforming how organisations operate, make decisions and deliver services, but traditional IT governance was not designed for the risks and complexity it introduces. This white paper provides a practical approach to strengthening AI governance, helping organisations balance innovation with accountability, responsible use and effective risk management. Key takeaways: Understand why existing IT governance may not adequately address AI-specific risks. Explore four key areas of AI governance covering risk, ethics, data and regulatory compliance. Use the ITIL 6C model to identify AI capabilities and assess their associated risks. Learn a four-step approach to assessing, adapting and continually improving AI governance. See how effective governance can support responsible innovation, trust and long-term AI adoption. This content has been created and paid for by Lumify Work