Researcher Robyn Caplan explains why COVID-19 has created a problem of content mediation, rather than moderation, on social media platforms. Read on Brookings Institute

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

A study of AI in clinical care use, with a particular focus on the sepsis detection system, "Sepsis Watch." Read on ACM FAT* 2020

Ruha Benjamin presents Race After Technology: Abolitionist Tools for the New Jim Code. Princeton Professor Ruha Benjamin discusses the relationship between machine bias and systemic racism, analyzing specific cases of “discr... Read more

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

Patient satisfaction and the (re)making of healthcare service workers. Read on Points

The proliferation of the subminimum wage. Read on Points

A short video explainer on YouTube's algorithm, created in partnership with PBS's KQED Above the Noise series. Read on KQED

Why should you care about the restaurant industry? Data & Society Fellow Veronica Avila explores the consequences of this “alarmingly low-wage industry," its roots in slavery and servitude, and how some employers are using ... Read more

How does an algorithm know what it knows? Data & Society Fellow Stephanie Dinkins explores what it means to craft AI developed from small and community-focused data. Dinkins’ project, “Not The Only One,” wmodels differen... Read more