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

The labor of disruption and repair in healthcare. Read on Points

The best way to describe what automation means today might be: machines upfront, people in the back. Read on Slate

Chis Ramsaroop of Justicia for Migrant Workers writes about the impacts of automation and surveillance on farm workers. Read on Points

Building off the research for her book Uberland: How Algorithms are Rewriting the Rules of Work, Data & Society Researcher Alex Rosenblat explains algorithmic management in the gig-economy. "Data and algorithms are present... Read on The New York Times

Artificial intelligence is increasingly being used across multiple sectors and people often refer to its function as "magic." In this blogpost, D&S researcher Madeleine Clare Elish points out how there's nothing magical abo... Read on Points

"Discriminating Tastes" examines how bias may creep into evaluations of Uber drivers through consumer-sourced rating systems. Read more

D&S researcher Madeleine Clare Elish asserts ethnography and anthropology's role in studying automation and intelligent systems. Cultural perceptions of the role of humans in automated and robotic systems need to be update... Read on EthnographyMatters.net

D&S Fellow Sorelle Friedler and D&S Affiliate Ifeoma Ajunwa argue in this essay that well settled legal doctrines that prohibit discrimination against job applicants on the basis of sex or race dictate an examination of... Read on SSRN

D&S Researcher Madeleine Clare Elish considers the possibility of a full-on replacement of humans by robots. She argues that this scenario is nowhere near as close as we have been led to believe. Though algorithms can do an... Read on Slate