Description
Book SynopsisRespect for patient autonomy and data privacy are generally accepted as foundational western bioethical values. Nonetheless, as our society embraces expanding forms of personal and health monitoring, particularly in the context of an aging population and the increasing prevalence of chronic diseases, questions abound about how artificial intelligence (AI) may change the way we define or understand what it means to live a free and healthy life. Who should have access to our health and recreational data and for what purpose? How can we find a balance between users'' physical safety and their autonomy? Should we allow individuals to forgo continuous health monitoring, even if such monitoring may minimize injury risks and confer health and societal benefits? Would being continuously watched by connected devices ironically render patients more isolated and their data more exposed than ever?Drawing on different use cases of AI health monitoring, this book explores the socio-relational contex
Trade ReviewAI-enabled home health monitoring, care delivery and health apps are transforming healthcare. Using the lens of relational autonomy theory, Anita Ho carefully assesses both the potential benefits of these technologies and the ethical challenges they raise for users' autonomy. She demonstrates the importance of situating AI health technologies in a wider socio-relational context, and argues that to truly enhance users' autonomy, these technologies should complement, rather than replace the therapeutic relationship. Timely, informative and thoroughly researched, Ho's book makes an important contribution to contemporary debates about AI and healthcare. * Catriona Mackenzie, Philosophy *
Anita Ho parts the fog of technological determinism with moral clarity. Her deeply informed analysis explains the structuring power of AI health monitoring, leading to new understanding of what's at stake for all of us. Live Like Nobody Is Watching is essential reading in graduate programs -- including all health sciences. * Clara Berridge, School of Social Work, University of Washington *
Table of ContentsAbbreviations Acknowledgments Preface Introduction Chapter 1: Artificial Autonomy or Relational Intelligence: How Relationality Matters in Health Monitoring Chapter 2: Independent Living With(out) Privacy: AI Home Health Monitoring Chapter 3: Artificial Doctoring: The Case of Direct-to-Consumer Health Monitoring Chapter 4: A Digital Pill to Swallow: AI Monitoring for Medication Adherence and Therapeutic Relationship Chapter 5: From One-Way Mirror to Two-Way Street: Realigning Goals and Practices of AI Health Monitoring Prologue Bibliography Index
