Information Access in the Era of Generative AI (Hardcover) (ISBN-13: 9783031731464)

Ryen W. White is a Research Scientist, General Manager, and Deputy Lab Director of Microsoft Research in Redmond, WA, USA. He is also an Affiliate Professor at the University of Washington. Ryen's research takes a user- and task-centric view on Artificial Intelligence (AI), with a focus on search and assistance. Technology derived from his and his team's research has significantly improved key business metrics in many Microsoft products, including Bing, Office, and Windows. Ryen is a Fellow of the Association for Computing Machinery (ACM) and of the British Computer Society. He has published over 300 articles and has received over 65 patents on search and related areas, including significant work on mining and modeling search activity at scale. Ryen has received over 20 awards for his technical contributions, including three ACM Special Interest Group on Information Retrieval (SIGIR) Best Paper awards and two SIGIR Test of Time awards. He has received the Karen Sp?rck Jones Award (2014) and the Tony Kent Strix Award (2022) for outstanding contributions to search. Ryen is one of a handful of scientists who have been inducted into both the SIGIR and the SIGCHI Academies. He currently serves as Editor-in-Chief of ACM Transactions on the Web and as SIGIR Vice Chair.

Chirag Shah is Professor in the Information School (iSchool) at the University of Washington in Seattle, WA, USA. He is also Adjunct Professor with the Paul G. Allen School of Computer Science & Engineering as well as Human Centered Design & Engineering (HCDE). He is the Founding Director for InfoSeeking Lab and Founding Co-Director of Center for Responsibility in AI Systems & Experiences (RAISE). His research focuses on building, auditing, and correcting intelligent information access systems. In addition to creating AI-driven information access systems that provide more personalized reactive and proactive recommendations, he is also focusing on making such systems transparent, fair, and free of biases. Shah is a Distinguished Member of ACM and ASIS&T. He is the recipient of the Karen Sp?rck Jones Award (2019) and ASIS&T Research in Information Science Award (2024). He has published nearly 200 peer-reviewed articles and authored seven books, including textbooks on data science and machine learning. He also works closely with industrial research labs on cutting-edge problems, typically as a visiting researcher. The most recent engagements include Amazon, Getty Images, Microsoft Research, and Spotify. He currently serves as Editor-in-Chief of Information Matters, published by ASIS&T.