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6 resources
Arundhati Roy reflects on AI's effects on language, authorship, cultural memory and social trust. The essay critiques the concentration of AI power in corporations and connects its labor and resource demands to wider political and economic structures.
Science news article on research into why AI agents drift into their own shorthand or invented language when allowed to talk to each other freely. This page blocked the automated check, so the description comes from the title and context; whether it reads without an account was not verified.
Emily M. Bender and Alex Hanna's Mystery AI Hype Theater 3000 newsletter on word choices that stop us describing software as if it thinks, feels or understands.
Why I recommend it: Written by two of AI hype's best-known critics, so it argues a position — but the writing tips are practical for anyone presenting about AI at work.
Gates Foundation press release announcing a five-year partnership of 60 signatories — frontier AI labs, researchers, companies, governments, community organizations, and philanthropic groups — to expand AI access across languages and voices.
Why I recommend it: A commitment announcement, not an outcome report. Read it for who has signed on and what they say they will do; the hard part is whether the resulting models and data actually serve the communities named.
How Te Hiku Media built te reo Māori speech recognition while keeping control of the community's own data.
Why I recommend it: The best short piece I know on data sovereignty done well.
A translation project built for Ethiopian and other underserved languages by researchers from those language communities.
Why I recommend it: What language AI looks like when the people who speak the language build it.
