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Wire · operational-macro

Quantifying System-Level Harms from AI Adoption in Complex Sociotechnical Systems

Published

11 October 2026

Topic

operational-macro

◆ Sectors

Fintech

◆ Geography

United Kingdom

◆ Source

Read at ojs.aaai.org →

◆ Verified

Fusion42 · 11 October 2026 · Fusion42 review

A new framework links hazard analysis, testing, and system modelling to quantify systemic risks from AI in complex sociotechnical systems like the UK's financial settlement infrastructure, revealing how AI-driven behaviours can increase system fragility and failure.

This Wire brief sits within Fusion42's coverage of Fintech.

◆ ◆ The Wire takeaway

Fintech founders face rising systemic risks from AI-induced financial shocks as adversarial inputs can weaken market resilience. You need to rethink your risk models to survive spreading failures triggered by widespread AI trading tools.

◆ Coverage

1 source · 11 Oct 2026

◆ Related on Wire

◆ Topics

Fintechai-risksystems-thinkingfintechinfrastructure-resilienceadversarial-ai