Generative Artificial Intelligence and Ethics for Healthcare

Authors: Loveleen Gaur, Ajith Abraham

ISBN: 9780443331244
Published: September 12, 2025
Format: Paperback
Language: English
Publisher: Academic Press (Elsevier)

Generative Artificial Intelligence and Ethics for Healthcare explores how generative AI is transforming clinical practice, research and health systems, and what it means to use these technologies responsibly. It starts with core concepts and architectures of generative AI and large language models, examines ethical theories and healthcare case studies, and closes with forward-looking chapters on lawfulness, empathy, health equity and governability.

Contents: Understanding Training Data and Mitigating Biases; Explainability in Generative AI and LLMs; Ethical Concerns of Generative AI in Healthcare; Data Privacy and Patient Data Ownership; Trust, Accountability and Informed Consent; Autonomous Medical Diagnosis; Health Equity and Generative AI; Governability and Generative AI for Healthcare.

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Q&A

Who is this book for?
Clinicians, hospital and health system leaders, policymakers, health regulators and AI developers.

What ethical challenges does it examine?
Bias in training data, explainability, trust, accountability and informed consent in generative AI healthcare applications.

Does it cover data privacy?
Yes, including patient data ownership and where to draw the boundary in personalized medicine.

Does it discuss autonomous diagnosis?
Yes, examining how to balance accuracy and accountability in autonomous medical diagnosis.

Who are the authors?
Loveleen Gaur and Ajith Abraham, both internationally recognised AI researchers.

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