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

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

Keywords of the Datafied State is a collection of essays on concepts that are of central significance to understanding the relationship between government and technology, and how it differs across geographies. Read more

On Thursday, April 14th, 2022, Dr. Julia Ticona discussed her new book Left to Our Own Devices at Data & Society’s Book Forum Series with Labor Futures Program Director Aiha Nguyen and Director of Research Jenna Burrell.   Read more

A new podcast series from Data & Society and Public Books that explores the past, present, and future of data. Read more

This report identifies three major digital barriers to economic justice arising from the pandemic. Read more

Given the potential for bias to creep into AI systems, tech companies have a societal responsibility to retain critical voices. Read on Nature

Monitoring tools may serve purposes such as protecting assets and trade secrets, controlling costs, enforcing protocols, increasing work efficiency, or guarding against legal liability. Read on Cetic.br

Sam Hinds and Janet Haven discuss how we will grapple with trust of text-generating AI tools. Read on Nieman Lab