Rumanyika Desire

From autonomous agents to the management of LLM and other generative AI technologies, artificial intelligence disrupts conventional understandings of data governance, particularly within financial services. This disruption is engendering new trade-offs that policymakers, regulators, and financial institutions have to grapple with, including:

• Reducing digital dependencies vs engaging the realities of a borderless market

• Preserving stability and building internal capabilities while optimising for speed and innovation

• Managing regulatory divergence without sacrificing operational coherence across markets

As AI agents become increasingly empowered to execute transactions on behalf of individuals and businesses, and institutions become increasingly reliant on models developed by a concentrated pool of Big Tech players, how can governments, financial infrastructure operators, and financial institutions balance competing objectives? This session aims to develop a set of principles for governing the use of AI and data within financial services, capturing insights from across the ecosystem.