AI, STS, and Institutional Theory
How does artificial intelligence disrupt institutions? Scholars have highlighted that AI crosses boundaries between public and private in a network that unites platforms, governments, corporations, and finance in tight configurations. The entanglement of organizing, data, and quantification asks new questions of our existing theories and critical approaches to governance including legitimacy, risk, institutional logics, datafication, trust, and scientific development. Building on the conference theme of solidarity, we seek to cross disciplinary boundaries to better understand data-driven technoscientific configurations. Inspired by work from both STS and institutional scholars, this session welcomes contributions that tackle the nexus of these two literatures.
