Our work on collaborating with worker communities to build tools and research to support labor organizing and advocacy is featured in the new book: Mobilizing Data for Justice.
Freddy Reiber (BU) examines how employers weaponize digital technologies to suppress union organizing, drawing on three distinct cases to develop a preliminary model of digitally facilitated union busting.
WAO project led by Dana with Samantha Dalal and Varun Rao — designed FairFare with CIDU organizers in Colorado to crowdsource difficult-to-access rideshare worker data for policy advocacy.
Varun Rao led the design of a tool with a rideshare labor union in WA to help them automate the process of contesting arbitrary AI and algorithmic deactivations.
Shomik Jain (MIT IDSS) crowdsourced two weeks of extended AI interactions to understand how LLMs mirror our behavior and perspectives in real-world use.
Tianqi Kou's paper on why AI researchers' social benefit claims often go unfulfilled. Theorizes a 'dead zone' of accountability and proposes ways to foster accountability for social claims in ML research.
Talk at Conference on Sustainable Work, Stockholm: Data Infrastructures to Turn Workplace Rights into Access
Dana spoke at the Conference on Sustainable Work in Stockholm about building data infrastructures that translate workplace rights into tangible access for workers.
IEEE Spectrum: The Gig Workers Who Fought an Algorithm
Dana wrote for IEEE Spectrum about how Shipt delivery drivers organized a community-led data audit when their pay suddenly dropped due to an algorithmic change.