Plagiarism and Artificial Intelligence

Michael Seadle has been a Professor at the Berlin School of Library and Information Science at Humboldt-Universität 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.

• Introduction: Understanding Plagiarism in the Era of Artificial IntelligenceChapter 1: ContextChapter 2: TrainingChapter 3: RisksChapter 4: Scholarly PurposesChapter 5: Reference AssistanceChapter 6: What is Plagiarism?Chapter 7: Detecting PlagiarismChapter 8: Measuring PlagiarismChapter 9: Avoiding Plagiarism with an LLMChapter 10: AI and Plagiarism Case StudiesChapter 11: Tools for Detecting PlagiarismChapter 12: Embedded AIChapter 13: AI’s Effect on TrustChapter 14: Data FalsificationChapter 15: Image and Sound FalsificationConclusion

Plagiarism and Artificial Intelligence addresses an extremely important topic that impact every facet of academic, research and scholarly activities in today’s world. Drawing upon his extensive research and academic management experience, and writing in a lucid style, Seadle covers different aspects of scholarship, creativity and plagiarism with explanations and examples of how recent developments in generative AI add new complexities and challenges. The book will be an essential read for researchers and professionals in information science, publishing, law and related disciplines.