Critical Dataset Studies Reading List
How should we study datasets in machine learning? As machine learning (ML) increasingly becomes a site of sociotechnical inquiry, invoking numerous social, political, legal, and ethical issues, datasets are a crucial component as they are core material used to train models. Inspired by Tarleton Gillespie and Nick Seaver’s Critical Algorithm Studies reading list, this collection is meant to serve as an entry point to the growing literature on ML datasets across the fields of computer science...| knowingmachines.org
