Preprint: Extended AI Interactions Shape Sycophancy and Perspective Mimesis ↗
We crowdsourced two weeks of extended AI interactions to understand how they mirror our behavior and perspectives in real-world use.
Recent publications, talks, reports, and media coverage from the Working Futures Network.
We crowdsourced two weeks of extended AI interactions to understand how they mirror our behavior and perspectives in real-world use.
AI researchers’ claims about social benefit often don’t come true. This paper examines why we aren't held accountable, theorizes it as a 'dead zone' of accountability, and suggests some ways forward to help create a culture of accountability for social claims in ML research.
We designed a tool with a rideshare labor union in WA to help them automate part of the process of contesting arbitrary AI and algorithmic deactivations.
We designed FairFare with organizers in Colorado to help them crowdsource difficult-to-access rideshare worker data with the goal of supporting policy advocacy and organizing.