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Event Q&A
AI in Finance Faces Tough Questions on Risk and Readiness
At Risk Evolve 2025, industry leaders unpacked the realities of AI in risk management, revealing a landscape shaped by data limits, siloed governance, and uneven regulatory pressures.
Aug 30, 2025
Tags:
Stress Testing
ESG and Climate Risk
The views and opinions expressed in this content are those of the thought leader as an individual and are not attributed to CeFPro or any other organization
- Panel at Risk Evolve 2025 explored AI in risk management highlighting ambition caution and governance needs
- AI roles differ by sector VC uses it to synthesise unstructured info while trading seeks real time operational insights but faces fragmentation
- Governance challenges include prioritising use cases defining accountability and avoiding cosmetic adoption
- Poor data quality fragmented systems and weak metadata are key barriers to effective AI
- AI autonomy is an illusion cross functional governance across compliance legal cybersecurity IT and business is essential
- Regulatory divergence between EU AI Act readiness and US experimentation complicates global alignment
- AI progress will be iterative needing transparency cultural change and collaboration
- Success depends on patience strategic clarity and disciplined uncertainty management
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