Giovanni Rubeis – författare

This is the first book to provide a coherent overview over the ethical implications of AI-related technologies in medicine. It explores how these technologies  transform practices,  relationships, and environments in the clinical field. It provides an introduction into ethical issues such as data security and privacy protection, bias and algorithmic fairness, trust and transparency, challenges to the doctor-patient relationship, and new perspectives for informed consent. The book focuses on the transformative impact that technology is having on medicine, and discusses several strategies for dealing with the resulting challenges. It also introduces innovative methods of ethics research for addressing existing desiderata and future challenges. This book is written to inform health care professionals, policy-makers, and researchers in medicine, health sciences, nursing science, social sciences, and ethics, but may also function as a primary textbook for graduate as wellas undergraduate university courses.

This is the first book to provide a coherent overview over the ethical implications of AI-related technologies in medicine. It explores how these technologies  transform practices,  relationships, and environments in the clinical field. It provides an introduction into ethical issues such as data security and privacy protection, bias and algorithmic fairness, trust and transparency, challenges to the doctor-patient relationship, and new perspectives for informed consent. The book focuses on the transformative impact that technology is having on medicine, and discusses several strategies for dealing with the resulting challenges. It also introduces innovative methods of ethics research for addressing existing desiderata and future challenges. This book is written to inform health care professionals, policy-makers, and researchers in medicine, health sciences, nursing science, social sciences, and ethics, but may also function as a primary textbook for graduate as wellas undergraduate university courses.

This book reveals how human and artificial intelligence (AI) can be blended to augment the capacities of healthcare professionals, thereby enabling them to design their clinical work more effectively and efficiently. It provides a comprehensive overview about where human intelligence and AI overlap and differ, and how they can mutually enhance healthcare outcomes. Case studies illustrate the added value of AI for healthcare providers, patients and caregivers, and provides organizational strategies for implementing change and facilitating usability. It represents a valuable resource, providing insights into implementation strategies, as well as the ethical and legal frameworks relevant to AI integration.Bridging Artificial and Human Intelligence addresses relevant topics impacting the healthcare ecosystem and workforce, serving as a pathway to understanding the complex relationship between the medical use of AI and human intelligence. Its primary target audience is graduate students in healthcare with a foundational understanding of biomedical and health informatics principles. Designed as a textbook, it enhances their understanding and competences in leveraging AI within healthcare contexts while emphasizing the importance of human oversight. Using this text, students will gain insights into the ethical and legal considerations surrounding AI implementation, highlighting the diverse roles humans play in this evolving landscape. A secondary audience comprises clinicians, professionals and decision-makers seeking to understand both the benefits and limitations of AI.

This book reveals how human and artificial intelligence (AI) can be blended to augment the capacities of healthcare professionals, thereby enabling them to design their clinical work more effectively and efficiently. It provides a comprehensive overview about where human intelligence and AI overlap and differ, and how they can mutually enhance healthcare outcomes. Case studies illustrate the added value of AI for healthcare providers, patients and caregivers, and provides organizational strategies for implementing change and facilitating usability. It represents a valuable resource, providing insights into implementation strategies, as well as the ethical and legal frameworks relevant to AI integration.Bridging Artificial and Human Intelligence addresses relevant topics impacting the healthcare ecosystem and workforce, serving as a pathway to understanding the complex relationship between the medical use of AI and human intelligence. Its primary target audience is graduate students in healthcare with a foundational understanding of biomedical and health informatics principles. Designed as a textbook, it enhances their understanding and competences in leveraging AI within healthcare contexts while emphasizing the importance of human oversight. Using this text, students will gain insights into the ethical and legal considerations surrounding AI implementation, highlighting the diverse roles humans play in this evolving landscape. A secondary audience comprises clinicians, professionals and decision-makers seeking to understand both the benefits and limitations of AI.

Die vorliegende Monografie bietet erstmals einen kohärenten Überblick über die ethischen Implikationen KI-bezogener Technologien in der Medizin. Sie untersucht, wie diese Technologien Praktiken, Beziehungen und Umwelten im klinischen Bereich verändern und führt in ethische Fragestellungen ein (z.B. Datensicherheit und Datenschutz, Bias und algorithmische Gerechtigkeit, Vertrauen und Transparenz, Herausforderungen für die Arzt-Patienten-Beziehung sowie neue Perspektiven auf die informierte Einwilligung). Das Buch legt den Fokus auf die transformative Wirkung, die Technologie auf die Medizin ausübt und diskutiert verschiedene Strategien zum Umgang mit den daraus resultierenden Herausforderungen. Es stellt außerdem innovative Methoden der ethischen Forschung vor, um bestehende Desiderate und zukünftige Herausforderungen zu adressieren. Dabei richtet es sich an Fachkräfte im Gesundheitswesen, politische Entscheidungsträger:innen sowie Forschende in der Medizin, den Gesundheitswissenschaften, der Pflegewissenschaft, den Sozialwissenschaften und der Ethik. Es kann außerdem als zentrales Lehrbuch für Bachelor- und Masterstudiengänge an Universitäten und Hochschulen dienen.

Die vorliegende Monografie bietet erstmals einen kohärenten Überblick über die ethischen Implikationen KI-bezogener Technologien in der Medizin. Sie untersucht, wie diese Technologien Praktiken, Beziehungen und Umwelten im klinischen Bereich verändern und führt in ethische Fragestellungen ein (z.B. Datensicherheit und Datenschutz, Bias und algorithmische Gerechtigkeit, Vertrauen und Transparenz, Herausforderungen für die Arzt-Patienten-Beziehung sowie neue Perspektiven auf die informierte Einwilligung). Das Buch legt den Fokus auf die transformative Wirkung, die Technologie auf die Medizin ausübt und diskutiert verschiedene Strategien zum Umgang mit den daraus resultierenden Herausforderungen. Es stellt außerdem innovative Methoden der ethischen Forschung vor, um bestehende Desiderate und zukünftige Herausforderungen zu adressieren. Dabei richtet es sich an Fachkräfte im Gesundheitswesen, politische Entscheidungsträger:innen sowie Forschende in der Medizin, den Gesundheitswissenschaften, der Pflegewissenschaft, den Sozialwissenschaften und der Ethik. Es kann außerdem als zentrales Lehrbuch für Bachelor- und Masterstudiengänge an Universitäten und Hochschulen dienen.