The Impact of AI on Scientific Knowledge Production: Capabilities, Limits, and Implications - Couverture souple

Couverture souple

ISBN 13 : 9798337389202

Editeur : IGI GLOBAL SCIENTIFIC PUBLISHING, 2026

Synopsis

AI tools are now used in many everyday research activities, including literature searching and screening, data cleaning and coding, drafting manuscripts, translation, figure generation, and even aspects of peer review. In many research environments, these technologies have become part of the routine workflow rather than optional tools. Their influence extends beyond simply increasing efficiency; they are also changing how ideas are developed, how evidence is synthesized, and how research findings are communicated. This shift raises an important question for researchers and institutions alike: when does AI enhance the quality and integrity of knowledge production, and when might it introduce new risks or distortions? Challenges such as unverifiable outputs, biased information retrieval, flawed reasoning presented with confidence, and unclear accountability are no longer theoretical concerns. These issues have direct implications for research methods, transparency, reproducibility, and trust in the scientific record. The Impact of AI on Scientific Knowledge Production: Capabilities, Limits, and Implications focuses on the impact of AI on scientific knowledge production with a deliberately evidence-oriented stance. This book brings together conceptual work, empirical studies, and field cases that clarify what AI can support reliably, where current systems remain fragile, and what changes are needed in research practice, training, and governance. Covering topics such as epistemic blind spots, the AI validation gap, and reproducibility standards, this book is an indispensable academic resource for graduate and doctoral students, faculty members, academic researchers, research supervisors, peer reviewers, data scientists, information specialists, policymakers, and more.

A propos du livre

À propos des auteurs

Konstantinos Lavidas is an Assistant Professor at the Department of Educational Sciences and Early Childhood Education at the University of Patras, Greece. Lavidas teaches methodology educational research and statistics. His academic interests and related research publications are relevant to the methodology of educational research and Mathematics Education with ICT.

Stamatios Papadakis is an Assistant Professor in Educational Technology at the Department of Preschool Education at the University of Crete, Greece. His scientific and research interests focus on integrating EdTech apps in preschool and primary education, novice programming environments, mobile learning, and the application of generative AI in education. His work aims to enhance early childhood learning experiences through innovative technologies. Dr. Papadakis has been a prolific researcher and editor, contributing to numerous books and journals in educational technology. He was recognized for his significant contributions and was included in the world's most outstanding scientists ranking in 2020, 2021, 2022, and 2023. This prestigious ranking places him among the top 100,000 scientists globally, or in the top 2% of his sub-field.

Détails de l'édition

• Éditeur: IGI GLOBAL SCIENTIFIC PUBLISHING
• Date d'édition: 2026
• Langue: anglais
• ISBN 13: 9798337389202
• Reliure: Taschenbuch
• Nombre de pages: 416
• Éditeur: Lavidas Konstantinos, Papadakis Stamatios
• Coordonnées du fabricant: non disponible
• Personne responsable: gpsr@libri.de; gpsr@libri.de; ; Europaallee 1; Bad Hersfeld; 36244; Allemagne