AIBlindspot
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BUSBUS-005 — Revenue Model Disruption Blindness

Western bias and unequal participation in AI ethics frameworks

3/5Sector: OtherGeography: GlobalStage: OperateIngested: —

Executive Summary

AI ethics literature is dominated by Western perspectives, marginalising cultural difference and non-Western voices in shaping global standards. Organisations adopting mainstream AI ethics frameworks risk embedding structural blind spots that undermine legitimacy in diverse markets.

Domain

Business & Strategic

Blindspots in business strategy, ROI, market positioning, customer value, and investment prioritisation.

Source

MIT AI Risk Repository — What Ethics Can Say on Artificial Intelligence: Insights from a Systematic Literature Review (Giarmoleo2024) ↗

https://airisk.mit.edu/

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