This new primer shows that understanding how AI will affect work requires examining how work is organized, how industries are structured, and whose and what work is valued. Read more

This primer highlights three major approaches to involving citizens in AI. Read more

Wellness Capitalism: Employee Health, the Benefits Maze, and Worker Control explores how employee wellness has been promoted in the US through public policies and government support, and how this has led to a rapidly expanding, data-collecting industry. Read more

A resource by Sareeta Amrute, Ranjit Singh, and Rigoberto Lara Guzmán exploring the presence of artificial intelligence and technology in the Majority World. 160 thematic works, available in English and Spanish, curated in collaboration with Aishatu Gwadabe, Dibyadyuti Roy, Kimberly Fernandes, Murali Shanmugavelan, Nicolás Llano Linares, Paola Ricaurte Quijano, Soledad Magnone, and Vasundhra Dahiya. Read more

Technology enables employers to increasingly monitor their employees. This explainer by Alexandra Mateescu and Aiha Nguyen identifies four current trends in workplace monitoring and surveillance: prediction and flagging tools; biometrics and health data; remote monitoring and time-tracking; and gamification and algorithmic management. Read more

This explainer by Alexandra Mateescu and Aiha Nguyen defines algorithmic management and reviews how this concept challenges workers’ rights in sectors, including retail, the service industry, and delivery and logistics. The authors outline existing research on the ways that algorithmic management is manifesting across various labor industries, shifting workplace power dynamics, and putting workers at a disadvantage. It can enable increased surveillance and control while removing transparency. Read more