In early 2020, Shipt workers noticed their pay becoming unpredictable, despite doing the same work. Shipt had changed its payment rules without informing them, leaving workers puzzled. Dana Calacci, a data scientist, built a tool to collect and analyze data from workers, helping uncover that 40% experienced pay cuts due to a new algorithm. Shipt workers protested for transparency, demanding a return to a simple payment formula. Such efforts highlight the power of workers in challenging opaque algorithms. The story serves as an example for gig workers globally. As AI continues to influence workplaces, it’s crucial to address workers’ rights amid algorithmic management.
https://spectrum.ieee.org/shipt