The book provides a historical overview of plagiarism and then explores the complex relationship between GenAI and plagiarism from legal, technical and philosophical perspectives. It also takes a strong practical approach to the work for those seeking to avoid or detect plagiarism. 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 work 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.
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