Artificial Intelligence is rapidly transforming how knowledge is discovered, organized, analyzed, and synthesized. Nowhere is this transformation more evident than in the literature review process?the intellectual foundation of scholarly research. AI Across the Literature Review Process: Methods, Frameworks, and Ethical Considerations provides a comprehensive and methodologically grounded exploration of how AI technologies can be systematically integrated into every stage of literature review. This book moves beyond tool-based discussions and instead offers structured frameworks for AI-assisted searching, screening, extraction, synthesis, mapping, and reporting. It examines how machine learning models, large language models (LLMs), natural language processing (NLP), and text-mining systems can enhance efficiency while preserving methodological rigor. Importantly, the book addresses the critical dimension of research integrity. It explores validation protocols, human-in-the-loop systems, bias mitigation, hallucination risks, reproducibility concerns, and ethical governance in AI-assisted scholarship. Readers are guided through accuracy assurance mechanisms, error management frameworks, and transparent reporting standards necessary for responsible AI use.
Unduh untuk perangkat lain: