Keynote: AI for worker collective action
summary
A web plugin tracker logs paid and unpaid time and shows many platform workers fall below minimum wage; LLM-assisted collective analysis clusters worker data, helps prioritize problems faster than forums and yields more feasible remedies; OfficeMind uses simple forms for non-prompt-engineers to generate cover letters and handle unpaid labor more quickly; experiments include LLM-assisted collective analysis, cross-cultural UI work that produces a 28% salary increase for Global South users.
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chapters (10)
- 0:00Introduction to gig work
- 1:00The problem of platform opacity
- 4:54Data access and sousveillance
- 7:21Tools for tracking invisible labor
- 11:39Future decentralized systems
- 13:19AI-assisted collective problem solving
- 16:13Empowering workers with generative AI
- 20:05Culturally aware AI systems
- 24:55Broader social and policy impact
- 28:21Q&A and concluding thoughts
