AI for Knowledge explores the question of whether Artificial Intelligence (AI) will transform the nature of human knowledge over the next decade. AI is accelerating our access to knowledge through search, recommendation, summarisation, translation and a proliferating range of tools with AI built in. Generative AI is further changing how we use and create information at home and in the workplace. Yet AI also has a dark side with hallucination, bias and lack of explainability, as well as potential for harmful impacts on social equity and the environment.

It investigates how AI will impact everyday knowledge discovery, understanding and creation. It considers both the positive benefits and the many informational and ethical challenges, including the impact on our wider information culture. It then weighs up the impact on scholarship, including the processes of scholarly communication. It explains the role of libraries and archives and how they could be enhanced using AI. It concludes by showing how governments can regulate AI to ensure social benefit and outlines what we as individuals need to know about AI.

The book helps the reader see through some of the AI hype to understand much more clearly what are the issues around the impact of AI on knowledge access and creation, including the implications for environmental sustainability and the power of Big Tech. What emerges is a nuanced picture of potential benefit and risk, especially when we consider the experiences of those with less privileged access to the digital, particularly beyond those outside the Global North.

Andrew Cox, PhD, Senior Lecturer, Information School, University of Sheffield, UK Professor Mike Thelwall, Professor of Data Science, Information School, University of Sheffield, UK

Mike Thelwall is a professor of data science at the Information School, University of Sheffield. His interests include applications of artificial intelligence for research evaluation.