Many AI ethics advisory boards consist mostly of people based in Europe or the US, which may lead to standards that are biased and insensitive to local cultures
Too many councils and advisory boards still consist mostly of people based in Europe or the United States. Tweets: @dorotheabaur , @swisscognitive , @hypervisible , and @hkanji Tweets: Dorothea Baur / @dorotheabaur : Ethical, safe, & inclusive #AI systems require that we “build trust with those who have historically been harmed by these same systems.” Responsible AI “is impossible without the voices of people who don't already hold power and influence” @atg_abhishek https://www.technologyreview.com/ ... @swisscognitive : “If organizations working on global #AI #ethics they need to differ depending on the locality - If not they risk developing standards that are, at best, meaningless and ineffective across all the world's regions” https://ow.ly/... Doomscrolling Eternal / @hypervisible : “... as it stands today, the entire field of AI ethics is at grave risk of limiting itself to languages, ideas, theories, and challenges from a handful of regions—primarily North America, Western Europe, and East Asia.” https://www.technologyreview.com/ ... Hussein Kanji / @hkanji : Too many councils and advisory boards still consist mostly of people based in Europe or the United States https://www.technologyreview.com/ ...
Context & Ripple Effects
The composition critique lands on a debate already running through the coverage: since 2019, critics have argued that corporate AI ethics boards function partly as a shield against government regulation, and Slate's earlier piece warned that ethics can set blueprints but cannot implement them, leaving boards at risk of becoming moral cover. The new reporting adds a geographic dimension to that structural critique — the people drafting 'global' principles are mostly in Europe or the US.
That matters because the same corpus documents what happens when internal criticism is managed rather than absorbed: Timnit Gebru's firing showed tech's capacity to co-opt and minimize AI criticism, and researchers have since flagged the lack of independent ethical oversight as oversight defaults to peer reviewers. Dorothea Baur's point that responsible AI is impossible without voices of people who don't already hold power connects the demographic gap to that credibility gap.
First-order effects
- Companies with US- and Europe-staffed ethics boards are writing principles that will govern AI deployments in markets whose populations had no seat at the table, inviting charges that 'global' standards encode one region's values.
Second-order effects
- Boards already accused of being moral cover rather than implementation mechanisms now face a second credibility attack — homogeneity — pushing firms to recruit outside their home regions or concede that their ethics function is performative.
Third-order effects
- If the pattern holds, AI ethics governance splits along the same lines as the technology's deployment: regionally concentrated standard-setters producing principles that local regulators, unions, and affected communities increasingly treat as illegitimate, strengthening the case for binding regulation over voluntary boards.
The trend: AI ethics is migrating from voluntary corporate advisory boards — demographically concentrated and structurally toothless — toward external accountability mechanisms like regulation and worker organizing.