Experts predict that 2025 will see a strong emphasis on compliance with emerging AI regulations, particularly the EU AI Act. 'Soft law' mechanisms, such as standards and certifications, will play a crucial role in bridging regulatory gaps. The rise of agentic AI, capable of autonomous decision-making, presents significant governance challenges, demanding careful consideration of autonomy and safeguards. AI governance is evolving from an ethical afterthought to a core business practice, with companies integrating responsible AI principles into their strategies. The need for AI literacy is also growing, emphasizing the importance of educating stakeholders across industries.
In the runaway train of AI development, those responsible for managing the risks are often chasing to stay ahead.For professionals in AI governance and compliance, this is the reality they grapple with daily. With 2025 set to bring new challenges, from AI agents to fresh regulatory developments, we spoke to industry leaders to get their take on the future of AI governance.
Experts predict that the compliance landscape will take multiple shapes. Fion Lee-Madan, Co-Founder of Fairly AI, an AI governance software company, makes a bold forecast:"certification will be the hottest ticket in 2025, as organizations shift from AI buzz to tackling real security and compliance requirements of AI responsibility. ‘’
The workforce implications also loom large:"This will naturally intensify discussions and research around AI's workforce impacts and replacing employees with AI agents and at what scale," she cautions."AI governance is no longer just an ethical afterthought; it's becoming standard business practice," notes Ms Lefaivre Škopac.
This evolution is further highlighted by Alice Thwaite, Head of Ethics at Omnicom Media Group UK, who points out that businesses are beginning to separate the concepts of AI governance, ethics, and compliance."Each of these areas calls for unique frameworks and expertise," she notes, reflecting a maturing understanding of AI's challenges.
Each perspective reinforces the notion that progress in AI governance requires action across multiple fronts—corporate commitment, transparency, and a growing focus on literacy and accountability.In summary, the road to improved AI governance is unlikely to be straightforward. Some of the more optimistic predictions—such as increased investment in AI compliance—have been tempered by the ongoing complexities of both theoretical frameworks and operational challenges.
AI Governance AI Compliance AI Regulation Agentic AI Responsible AI
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