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

The Algorithmic Accountability Act is a step forward, but there's still room for improvement. Postdoctoral Scholar Andrew Selbst and Margot Kaminski explain. "The bill is a meaningful first step in addressing the problems ... Read on The New York Times

How do we think about regulatory frameworks for ridehail services? Researcher Alex Rosenblat shares insights from her book Uberland. Read on The Globe and Mail

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

2017-2018 Fellow Jeanna Matthews and Research Analyst Kinjal Dave respond to Deji Olukotun's story about an algorithmic tennis match.  "The answer can’t be derived from the past alone: It depends on what we collectively decide... Read on Slate

Data & Society Postdoctoral Scholar Julia Ticona and Data & Society Research Analyst Alexandra Mateescu co-authored an op-ed for Fast Company about the safety of workers who rely on digital platforms to stay employed. ... Read on Fast Company

Data & Society Researcher Alex Rosenblat unveils the impact of Uber's new driving limit policy. "These moves from Uber and Lyft seem to align with their gig-economy model of employment, which structures work as an individu... Read on Slate

D&S researcher Robyn Caplan writes about fake news and Facebook in the NYT. Media organizations were especially left behind when Facebook changed its algorithm in June to privilege friends and family over major publishers,... Read on The New York Times

D&S affiliate Sorelle Friedler, with Nicholas Diakopoulos, discuss five principles to hold algorithmic systems accountable. Recent investigations show that risk assessment algorithms can be racially biased, generating scor... Read on MIT Technology Review

D&S affiliate Kate Crawford, with Ryan Calo, wrote this piece discussing risks in AI. Artificial intelligence presents a cultural shift as much as a technical one. This is similar to technological inflection points of the ... Read on Nature