Aiha Nguyen's thoughts on the deeper causes of "workslop" were referenced by the Think Different blog. Read on Think Different Blog

A Marie Claire reporter references a report from Cornell University's Worker Institute and Data & Society that flagged the risks AI poses to models being fairly compensated for their work. For example,"...A single photoshoo... Read on Marie Claire

In this Q&A, Alexandra Mateescu, a researcher with Data & Society’s Labor Futures program, shares her research about the gendered experience of the gig economy; how AI is an extension of existing tools of surveillance a... Read on Siegel Family Endowment

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In this episode of Computer Says Maybe, host Alix Dunn speaks with Data & Society Labor Futures researchers Aiha Nguyen and Alexandra Mateescu, who recently authored Generative AI and Labor: Power, Hype, and Value at Work. They discuss how automation is now being used as a threat against workers, and how certain types of labor are being devalued by AI — especially (shocking) traditionally feminised work, such as caregiving. Read on Computer Says Maybe

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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

Examining the risks that financial wellness may pose to workers and society, this report asks: Who ultimately benefits from framing financial status as a matter of health? Read more

In “Establishing Vigilant Care: Data Infrastructures and the Black Birthing Experience,” Data & Society researcher Joan Mukogosi explains why many prominent interventions to this crisis are neglecting other risks to Black people. Read more

While platforms provide a new way for professionals to find patients, diminish administrative load, and earn additional income, providers have also increasingly been recruited into labor arrangements that mirror those of other gigified sectors like service and delivery work. Read more