Data-driven technologies represent a technological rationality that renders our experiences in the world as distant, unfamiliar, and perhaps even unreliable when compared to the knowledge about the world that our technological systems present us with. Read on Taylor & Francis Online

A new project to identify sites and vocabularies of digital IDs and AI Read on Points

This essay conceptualizes study the imbrication as a maxim in researching the role of datasets in producing, distributing, and consuming knowledge. Read on Lives of Data

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

David Robinson discusses an example of an effective application of an algorithm in healthcare. Read more

Jill Lepore and danah boyd discuss how tech can’t fix democracy Read on Points

Michele Gilman and Meredith Broussard on everything poverty lawyers need to know about tech, law, and social justice. Read more

This paper describes the coupling of machine learning and the social production of risk in general, with specific illustrations drawn from machine learning applications in response to the COVID-19 pandemic. Read on Patterns

Watch the video of Databite No. 135 on integrating an AI system into clinical healthcare. Read more

A Study of Integrating AI in Clinical Care Read more