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1、AI Governance Profession Report 2025AI Governance in Practice Report 2025|2Table of contentsWhats inside?Foreword .3Executive summary.5Part I.Building an AI governance program .10Case study:AI governance at Mastercard .19Case study:AI governance at TELUS .21Case study:AI governance at Boston Consult

2、ing Group.24Part II.Professionalizing AI governance.25Case study:AI governance at Kroll .32Case study:AI governance at IBM .34Part III.Leadership and accountability.37Case study:AI governance at Randstad .40Case study:AI governance at Cohere.49Conclusion .61Contacts .63AI Governance in Practice Repo

3、rt 2025|3ForewordAI governance is not just a compliance exercise.Artificial intelligence governance can provide businesses with the certainty they need to continue to innovate with AI at scale,building faster,better,more reliable products that are trusted by both consumers and enterprise partners al

4、ike.AI enables global businesses to compete.It makes them faster,more efficient and more competitive.In order to adopt AI confidently,businesses need certainty.The field of work we are in focuses on how to give enterprises the certainty that their AI systems are accountable,trustworthy and safe,remo

5、ving the barriers to their AI adoption so they can compete with enterprises that are already using AI to win business.Enterprises have adopted AI,and to stay competitive and continue using it,they now need to manage the risks at scale.Managing AI risk has truly become a reality for enterprises that

6、must ensure compliance with hard regulations that have already come into force,such as the EU AI Act,as well as additional regulations that are already emerging in 2025,such as South Koreas AI Act.The first penalties for noncompliance with AI-specific laws will begin to set a global precedent,forcin