Artificial Intelligence for Academic Libraries - Paperback

Clifford B. Anderson is the Director of the Divinity Library at Yale University. Previously, he was Chief Digital Strategist at the Vanderbilt University Library. He holds an M.Div. from Harvard Divinity School, an M.S.L.I.S. from the Pratt Institute, and a Ph.D. from Princeton Theological Seminary. His research interests include computational theology, digital humanities, and block-based programming languages. Among other publications, he is co-author of XQuery for Humanists (2020) and editor of Digital Humanities and Libraries and Archives in Religious Studies (2022).Douglas H. Fisher is Associate Professor Emeritus and Professor of the Practice in Computer Science at Vanderbilt University, having long taught and researched artificial intelligence, notably machine learning, cognitive modeling, computing for environmental sustainability, computational creativity, database, and other topics. His most recent research and publications, with colleagues, are on the nature of large language model cognition. He served for three years at the National Science Foundation, vetting and administering proposals and grants in all areas of artificial intelligence, as well as interdisciplinary programs. He received the Director's Award for his work on NSF programs for computing and environment, and his innovations on virtual proposal review.

Clifford B. Anderson is the Director of the Divinity Library at Yale University. Previously, he was Chief Digital Strategist at the Vanderbilt University Library. He holds an M.Div. from Harvard Divinity School, an M.S.L.I.S. from the Pratt Institute, and a Ph.D. from Princeton Theological Seminary. His research interests include computational theology, digital humanities, and block-based programming languages. Among other publications, he is co-author of XQuery for Humanists (2020) and editor of Digital Humanities and Libraries and Archives in Religious Studies (2022).Douglas H. Fisher is Associate Professor Emeritus and Professor of the Practice in Computer Science at Vanderbilt University, having long taught and researched artificial intelligence, notably machine learning, cognitive modeling, computing for environmental sustainability, computational creativity, database, and other topics. His most recent research and publications, with colleagues, are on the nature of large language model cognition. He served for three years at the National Science Foundation, vetting and administering proposals and grants in all areas of artificial intelligence, as well as interdisciplinary programs. He received the Director's Award for his work on NSF programs for computing and environment, and his innovations on virtual proposal review.