BUSBUS-005 — Revenue Model Disruption Blindness
Demographic Homogeneity in AI Research and Development Workforce
3/5Sector: TechnologyGeography: USAStage: OperateIngested: —
Executive Summary
The AI research and development pipeline is critically under-representative, with women comprising under 25% of computer science doctorate holders and Black professionals below 2% at leading technology firms. Boards face material governance risk as homogeneous teams systematically encode blind spots into consequential AI systems.
Domain
Business & Strategic
Blindspots in business strategy, ROI, market positioning, customer value, and investment prioritisation.
Source
MIT AI Risk Repository — Ten Hard Problems in Artificial Intelligence We Must Get Right (Leech2024) ↗https://airisk.mit.edu/
Could this happen in your organisation?
A Velinor AI Audit maps your active AI portfolio against the 50+ blindspots and benchmarks against documented sector failures like this one. A board-ready foresight document in 5 weeks.