Latest / AI Ethics with Fexingo: Bias, Safety, and Responsible Artificial Intelligence
When AI Fails the Gig Economy Workforce
Lucas and Luna examine how AI-driven worker management systems in the gig economy create unfair outcomes for drivers and delivery workers. They zero in on a 2025 study from the UC Berkeley Labor Center showing that a major ride-hailing platform's automated rating algorithm disproportionately deactivates drivers from low-income neighborhoods. Lucas explains how the AI evaluates 'performance' using opaque metrics like acceptance rate and cancellation frequency, while Luna pushes back on whether these metrics actually measure quality. They unpack the lawsuit filed by a group of gig workers in…
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