# Resources: AI in Finance

High-trust first. This topic is saturated with vendor marketing, so the spine of the
course is regulators and standard-setters — bodies with no product to sell.

## Primary sources (regulators & standard-setters)

- **[FSB — The Financial Stability Implications of Artificial Intelligence (Nov 2024)](https://www.fsb.org/uploads/R14112024.pdf)**
  The best single landscape document: current use cases, benefits, and the systemic risks
  (concentration on a few AI/GPU/cloud providers; model + data commonality → correlated
  behaviour). Course primary source.
- **[FSB — Monitoring Adoption of AI and Related Vulnerabilities (Oct 2025)](https://www.fsb.org/2025/10/monitoring-adoption-of-artificial-intelligence-and-related-vulnerabilities-in-the-financial-sector/)**
  Follow-up. What's actually being adopted and where the vulnerabilities concentrate.
- **[US GAO — AI: Use and Oversight in Financial Services (2025)](https://www.gao.gov/assets/gao-25-107197.pdf)**
  Benefits/risks plus how regulators themselves use AI (SupTech). Clear, plain-English.
- **[CFTC — AI in Financial Markets (May 2024)](https://www.cftc.gov/media/10626/TAC_AIReport050224/download)**
  Markets/trading angle: opportunities and the guardrails needed to keep public trust.
- **[OECD — Regulatory Approaches to AI in Finance](https://www.oecd.org/en/publications/regulatory-approaches-to-artificial-intelligence-in-finance_f1498c02-en.html)**
  How different jurisdictions are choosing to regulate. Good for the "what now?" question.

## Reference / background

- **[Wikipedia — Timeline of AI risks in global finance](https://en.wikipedia.org/wiki/Timeline_of_artificial_intelligence_risks_in_global_finance)**
  Quick orientation and event index. A pointer to primary sources, not a source itself.

## Communities (wisdom — test your reading against practitioners)

- *To find.* Candidates to vet next session: r/finance and r/quant (Reddit) for market
  chatter; regulator consultation comment threads (FSB/OECD publish responses) for the
  serious debate. Vet before recommending — signal-to-noise on this topic is low.