Lauren M. E. Goodlad discusses what literary theory can teach us about large language models, why language is more than data, and what it means to put the “humanities in the loop” in debates about AI.
By Neil Lee, author of Innovation for the Masses: How to Share the Benefits of the High-Tech EconomyI grew up in Oxford, England, sometimes called the City of Dreaming Spires and a place known for science and innovation. Most people see the city as a place of great economic success, but I’m not
We’re thrilled to announce our new Co-Opting AI Book series, helmed by series editor Mona Sloane!Series Editor Mona SloaneCo-Opting AI will be a new series of compact books for readers to better understand the social dimension of AI. Co-opting the hype around so-called “artificial intelligen
Out today, Access Rules: Freeing Data from Big Tech for a Better Future is a powerful and urgent call to action: to improve our lives and our societies, we must demand open access to data for all.Information is power, and the time is now for digital liberation. Access Rules mounts a strong and h
By Roberto J. González , author of War Virtually: The Quest to Automate Conflict, Militarize Data, and Predict the FutureThe time is a year after tomorrow.The place is the United States of America.Turmoil has steadily enveloped the country following contested midterm elections, multiple
By Bram Büscher, author of The Truth about Nature: Environmentalism in the Era of Post-Truth Politics and Platform CapitalismThis post is part of our #AAG2021 virtual conference series. Visit our virtual exhibit to learn more and get 40% off the book.Environmental organizations have become f