HUMHUM-004 — Trust and Acceptance Issues
AI-Driven Alternative Financial Data Creates Systemic Tail Risk
3/5Sector: TechnologyGeography: GlobalStage: OperateIngested: —
Executive Summary
AI models aggregating social media, product reviews, and satellite imagery introduce bias and generalisation failures due to inconsistent data quality and short time series. Boards face unquantified exposure to extreme market moves driven by analytically unsound inputs.
Domain
Human Factors
Blindspots in change management, skills, human-AI collaboration, trust, workforce, and culture.
Source
MIT AI Risk Repository — Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems (Gipiškis2024) ↗https://airisk.mit.edu/
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