Hi there,
The Financial Stability Board just published 12 sound practices for responsible AI adoption — and buried inside is the most candid thing any global regulator has said about agentic AI governance: continuous human monitoring of individual agent decisions in banks is no longer practically achievable at scale. The answer, per the FSB, is AI monitoring other AI.
🔥 Featured Post
The FSB Said the Quiet Part Loud: AI Must Now Govern AI in Banks
- The FSB's June 10 consultation formally acknowledges that human oversight of agentic AI can't scale — and endorses AI-on-AI monitoring as a mitigation
- 12 sound practices span org-wide governance, AI lifecycle risk management, and cyber/ICT/third-party risk
- The FSB frames AI agents as "synthetic employees" — with HR controls, identity management, and action constraints to match
- Comments due July 22, final report to G20 in October 2026 — this becomes the international baseline
- Fed Vice Chair Michelle Bowman chairs both the FSB's AI workstream and the SR 26-2 RFI effort — same governance thinking, two regulatory tracks converging
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Credit Card Personalization Architecture: The ML Stack That Actually Works — Banks have more customer data than Amazon. They lose on personalization because their ML architecture is batch-first. Here's what the right stack looks like.
The Agentic AI Governance Framework Every Enterprise Needs Now — Traditional AI governance was built for models that predict. Agentic AI acts. The difference breaks every assumption in SR 11-7, ISO 42001, and most corporate AI risk frameworks written before 2025.
More posts dropping every day. Stay curious.
— Bhanu @ superml.dev