Plagiarism and Artificial Intelligence
Will be published approx. on 22. October 2026
Book
Hardback
978-1-78330-840-8 (ISBN)
Description
Questions about authorship and originality have become urgent in an era where artificial intelligence (AI) and Large Language Models can write essays, generate images, and mimic human creativity. This authoritative book explores the intersection between plagiarism and forms of artificial intelligence that can generate written content copied from human-written texts.
This works discusses the legal and ethical history of plagiarism and shows how the rise of AI is changing how scholars define and measure plagiarism. The book also explores how AI could be used to discover plagiarism and highlights the risks of using AI when working with data and images.
Written by an established thinker on the topic of AI and plagiarism, Plagiarism and Artificial Intelligence will help librarians and researchers to understand the relationship between AI and plagiarism as well as those who seek solutions to the problems caused by using artificial intelligence systems.
This works discusses the legal and ethical history of plagiarism and shows how the rise of AI is changing how scholars define and measure plagiarism. The book also explores how AI could be used to discover plagiarism and highlights the risks of using AI when working with data and images.
Written by an established thinker on the topic of AI and plagiarism, Plagiarism and Artificial Intelligence will help librarians and researchers to understand the relationship between AI and plagiarism as well as those who seek solutions to the problems caused by using artificial intelligence systems.
More details
Language
English
Place of publication
London
United Kingdom
Target group
Professional and scholarly
Product notice
Laminated cover
Dimensions
Height: 238 mm
Width: 16 mm
Weight
358 gr
ISBN-13
978-1-78330-840-8 (9781783308408)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Person
Michael Seadle has been a Professor at the Berlin School of Library and Information Science at Humboldt-Universitaet zu Berlin, was Dean of Humanities, and was Executive Director of the international iSchools organisation. His most recent publication is Information Science: History, Ideas and Applications. He has previously published The Measurement of Information Integrity, Quantifying Research Integrity and Educating the Profession: 40 Years of the IFLA Section on Education and Training.