AI for Knowledge

1. Auflage 2025
ISBN: 978-1-032-89892-6
Verlag: Taylor & Francis Ltd

Buch, Englisch, 92 Seiten, Format (B × H): 138 mm x 216 mm, Gewicht: 453 g

Reihe: AI for Everything

AI for Knowledge explores the question of whether artificial intelligence (AI) is transforming knowledge access and creation for the good. 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.

The book 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, in science, social science and the humanities and 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 those outside the Global North.

Zielgruppe

Academic, General, Postgraduate, and Undergraduate Advanced

Autoren/Hrsg.

Cox, Andrew

Thelwall, Mike

Fachgebiete

• Interdisziplinäres Bibliothekswesen, Informationswissenschaften Bibliothekswesen, Informationswissenschaften, Archivwesen
• Sozialwissenschaften Medien- und Kommunikationswissenschaften Kommunikationswissenschaften
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Sozialwissenschaften Pädagogik Schulen, Schulleitung Privatschulen, alternative Schulformen
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke
• Interdisziplinäres Bibliothekswesen, Informationswissenschaften EDV Systeme, Internet und elektronische Ressourcen in Bibliotheken
• Mathematik | Informatik EDV | Informatik Digital Lifestyle Internet, E-Mail, Social Media
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik

Über Autor(innen)

Andrew Cox, PhD, is Senior Lecturer at the Information School, University of Sheffield, United Kingdom. His interests include the impact of datafication and AI on knowledge creation and use.

Mike Thelwall is Professor of Data Science at the Information University of Sheffield, United Kingdom. His interests include applications of artificial intelligence for research evaluation.