Inclusion, Rights & Development · 2026-06-24
Stanford Institute for Human-Centered Artificial Intelligence and Stanford SILICON
The paper correctly identifies language digitization as the precondition for AI inclusion, but its proposed social contract remains incomplete until communities have enforceable authority over data reuse, standards decisions, model deployment, and the right to withdraw or contest harmful representations.
Inclusion, Rights & Development · 2026-04-28
TechPolicy.Press
The article’s central contribution is to frame language as AI infrastructure rather than interface localization, but its governance model remains insufficiently operationalized because it does not define who controls linguistic datasets, who can authorize reuse, and how communities can contest downstream model behavior.
Cumulative knowledge
What does this body of work add up to?
Collection membership is a reading route. Cross-paper propositions remain curated editorial claims in the Knowledge layer, with explicit evidence and traceability.