Library
Use our library to explore Data & Society's original empirical research and read our expert commentary. Sort by media type, or select one or more topic categories to begin browsing.
Publisher
Title
Date
-
blog post
Dmlcentral.netD&S researcher Claire Fontaine looks at how school performance data can lead to segregation. In our technocratic society, we are predisposed toward privileging the quantitative. So, we need to find ways to highlight what i... Read on Dmlcentral.netOctober 2016 -
blog post
Knight Foundation blogD&S post-doctoral scholar Caroline Jack attended the O'Reilly Next:Economy Summit and continues the conversation from the summit. In the next economy, the most important skills may be difficult to quantify or commodify—but... Read on Knight Foundation blogOctober 2016 -
report
Data & Society"Discriminating Tastes" examines how bias may creep into evaluations of Uber drivers through consumer-sourced rating systems. Read moreOctober 2016 -
op-ed
NatureD&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 NatureOctober 2016 -
report
Data & SocietyD&S researchers Alex Rosenblat and Tim Hwang explore "the significant role of worker motivations and regional political environments on the social and economic outcomes of automation" in this report. Read moreOctober 2016 -
blog post
BackchannelD&S advisor Susan Crawford discusses how streetlights are becoming a part of the Internet of Things. But the third step was the charm: This past summer, Santa Monica adopted an ordinance requiring that wireless carriers ge... Read on BackchannelOctober 2016 -
Longform
ProPublicaD&S affiliate Surya Mattu, with Julia Angwin, Terry Parris Jr., and Seongtaek Lim, continue the Black Box series. Depending on what data they are trained on, machines can “learn” to be biased. That’s what happened in the f... Read on ProPublicaOctober 2016 -
blog post
MediumD&S affiliate Wilneida Negrón writes five tips to allow for more inclusive AI research. Although, a step in the right direction, the Partnership on AI does highlight a certain conundrum — what exactly is it that we want ... Read on MediumOctober 2016 -
Academic Article
SSRNSarah Bird, Fernando Diaz, Hanna Wallach, with D&S affiliates Solon Barocas and Kate Crawford, wrote this analysis about implications in autonomous experimentation in AI. In the field of computer science, large-scale exp... Read on SSRNOctober 2016 -
Book or Chapter
Data & SocietyD&S researchers Madeleine Clare Elish and Tim Hwang discuss the social challenges of AI in their collection of essays, An AI Pattern Language. From the authors: How are practitioners grappling with the social impacts ... Read moreSeptember 2016