- Project Noor: enhancing artificial intelligence (AI) model transparency
Solution Documentation · 18 August 2025
The initiative, led by the BISIH Hong Kong Centre in collaboration with the Hong Kong Monetary Authority and United Kingdom Financial Conduct Authority, will prototype explainable AI techniques that…
- AI: Moving from fear to trust
Speech · 9 November 2022
In her 2022 speech, Jessica Rusu highlighted the dual nature of AI—the "good" versus the "greed"—and argued that the shift from fear to trust is built on a foundation of accountability and…
- NYDFS Insurance Circular Letter No. 1 (2019) — External Consumer Data Sources in Life Insurance Underwriting
Regulation
New York Department of Financial Services Insurance Circular Letter No. 1 of 2019. Predecessor to the 2024 Circular Letter No. 7; established NYDFS's anti-proxy-discrimination expectations for life…
- NYDFS Insurance Circular Letter No. 7 (2024) — AI Systems and External Consumer Data in Insurance Underwriting and Pricing
Regulation
New York Department of Financial Services Insurance Circular Letter No. 7 of 2024. Sets out NYDFS's supervisory expectations for insurers using AI systems and external consumer data sources in…
- NYDFS adopts guidance on AI use by insurance firms
News · 13 July 2024
The NYDFS has adopted guidance to protect consumers from unfair or unlawful discrimination by insurers using artificial intelligence. The guidance outlines DFS’s expectations for how all insurers…
- Consultation Paper on guidelines for responsible usage of AI/ML In Indian Securities Markets
Standard or Guidance, RFP · 21 June 2025
SEBI published a consultation paper on 20 June 2025 outlining guidelines for responsible AI and ML usage across five core principles: model governance, investor protection through disclosure…
- AFM and DNB publish report on the impact of AI on the financial sector and supervision
Report · 9 April 2024
The rapid development of artificial intelligence (AI) poses challenges for the supervisory work of the AFM and DNB. The supervisory authorities have published a report with criteria and areas of…
- DP5/22 - Artificial Intelligence and Machine Learning
Report · 11 October 2022
This discussion paper seeks to explore whether stakeholders consider the existing sectoral legal requirements and guidance to be sufficient to address the risks and harms associated with AI, where…
- The AI Revolution: Opportunities and Challenges for the Finance Sector
Report · 31 August 2023
This report examines Artificial Intelligence (AI) in the financial sector, outlining its potential to revolutionise the industry and identify its challenges. It underscores the criticality of a…
- Comment on Financial Institutions’ Use of Artificial Intelligence, including Machine Learning
15 June 2021
These Comments, submitted in response to the Consumer Financial Protection Bureau's Request for Information: Financial Institutions' Use of Artificial Intelligence, including Machine Learning…
- How artificial intelligence affects financial consumers
Report · 31 January 2019
This report explores the transformative impact of artificial intelligence on the consumer financial services market and its profound implications for financial protection and inclusion. The author…
- Using Technology to Better Inform Consumers about Privacy Decisions
Blog · 29 April 2014
The article titled Computer Science and Privacy explores the dual role of technology in both creating and potentially solving the complex privacy challenges of the Big Data era. Author Cameron F.…
- Digital identity proofing
Event · 10 January 2022
The Federal Deposit Insurance Corporation (FDIC) and the Financial Crimes Enforcement Network (FinCEN) in January 2022 announced a Tech Sprint to develop solutions for financial institutions and…
- New York Department of Financial Services (NYDFS) adopts guidance on AI use by insurance firms.
12 July 2024
The NYDFS has adopted guidance to protect consumers from unfair or unlawful discrimination by insurers using artificial intelligence. The guidance outlines DFS’s expectations for how all insurers…