AI and NLP Methods for Privacy Policy Analysis: Rule-Based Systems to Large Language Models

This book examines how privacy policies have become objects of computational analysis and what that development means for privacy governance. It traces the field over roughly two decades, following the progression from early rule-based and lexicon-driven systems to machine learning, deep learning, and large language models. This book also reviews the major tasks that have defined automated privacy policy analysis, including classification of data practices, information extraction, corpus an...