AI holds immense promise in various aspects of daily life and has demonstrated numerous successful applications, however addressing ethical issues remains a pressing concern. Generative Artificial Intelligence and Ethics for Healthcare conducts a deep dive into the potential issues and challenges associated with Generative AI applications. The book begins with foundational concepts of generative AI, is followed by an exploration of ethical theories, including specific case studies in healthcare, and concludes with discussions on policy and future implications. Written for healthcare professionals, policymakers, academics and AI developers, by authors who have a thorough understanding of AI and machine learning in the healthcare.
- Establishes a basic understanding of the concept of Generative AI and the various ethical challenges
- Focuses on the specific issues such as Data Privacy and Patient Data Ownership, Trust, Accountability, and Informed Consent
- Explores the latest concepts of Health Equity, Lawfulness, Empathy in relation to Generative AI and the role governability
