Generated

This book presents the result of an innovative challenge, to create a systematic literature overview driven by machine-generated content. Questions and related keywords were prepared for the machine to query, discover, collate and structure by Artificial Intelligence (AI) clustering. The AI-based approach seemed especially suitable to provide an innovative perspective as the topics are indeed both complex, interdisciplinary and multidisciplinary, for example, climate, planetary and evolution sciences. Springer Nature has published much on these topics in its journals over the years, so the challenge was for the machine to identify the most relevant content and present it in a structured way that the reader would find useful. The automatically generated literature summaries in this book are intended as a springboard to further discoverability. They are particularly useful to readers with limited time, looking to learn more about the subject quickly and especially if they are new to the topics. Springer Nature seeks to support anyone who needs a fast and effective start in their content discovery journey, from the undergraduate student exploring interdisciplinary content to Master- or PhD-thesis developing research questions, to the practitioner seeking support materials, this book can serve as an inspiration, to name a few examples.

This book is a machine-generated literature overview of the legal and ethical debates over privacy and data protection measures in the last three decades, showcasing the expectations vis-à-vis realities of their presence and application in different sectors. The book identifies the role and application of consent in different situations. Over time, consent in its various forms and types, informed, explicit and otherwise, ensured data subjects have a measured understanding of the purpose of data processing. The idea of consent with time has been challenging to implement with the rapid advancement of research in different areas. It remains the most critical fulcrum, yet there are instances when the implementation continues to challenge.