| Title | : | Generative Artificial Intelligence and Ethics for Healthcare |
|---|---|---|
| Author | : | Loveleen Gaur & Ajith Abraham |
| Release | : | 2025-09-01 |
| Kind | : | ebook |
| Genre | : | Biology, Books, Science & Nature, Life Sciences |
| Size | : |
| 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 and then explores 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, along with various ethical challenges - Focuses on specific issues such as Data Privacy, Patient Data Ownership, Trust, Accountability, and Informed Consent - Explores the latest concepts of Health Equity, Lawfulness, and Empathy in relation to Generative AI and the role of governability |
