Navigating the intricacies of AI in suptech

This is the second post of the Cambridge SupTech Lab log series ” Artificial intelligence (AI) in financial supervision: Promises, pitfalls, and incremental approaches”. The first post of the series is available here. Read the third post in the series here.

Artificial intelligence in suptech: The need for public sector adoption and adaptation

This is the first post of a series dedicated to “Artificial intelligence (AI) in financial supervision: Promises, pitfalls, and incremental approaches.”

Artificial Intelligence (AI) has already reshaped the financial services sector. The industry has already fully embraced AI across nearly all facets, including data analytics, risk management, compliance, and customer services.

But as this technology develops, so does the risk landscape.

Generative AI in financial supervision: A brief history of a revolution in progress

This is the third post of the Cambridge SupTech Lab blog series “Artificial intelligence (AI) in financial supervision: Promises, pitfalls, and incremental approaches”. In the first post of the series, we explored opportunities for AI in financial supervision. In the second post, we further discussed the need for a “human in the loop” and the complexities of integrating AI into existing supervisory systems, including the ethical considerations, data privacy issues, and the ever-present challenge of balancing innovation and regulation. In this third post, we double-click on Generative AI, a subfield of AI that’s becoming ubiquitous in conversations around tech, financial services, and increasingly in financial supervision.

Highlights

Research

State of SupTech 2024 is here – the global benchmark on supervisory technology, with insights from 136 authorities and 23 providers.
Explore the trends, challenges, and what’s next.

Ecosystem

Join us for SupTech Week 2025 – a global gathering of financial supervisors, technologists, and innovators advancing the digital transformation of financial oversight. December 8–12
New York & Online