Responsible AI for Health Care: Concepts and Applications

In this innovative course, you will learn from the leaders in health care AI, including prominent Harvard faculty and industry experts at many of the world's top technology companies.

For health care professionals, this program will help you think like a data scientist. It takes a “zero-to-AI” approach, using Harvard faculty to introduce AI beginners to key foundational concepts. This course outlines health care-specific subtleties that arise and places AI in the larger health care systems context. Find out how AI can change the relationship between doctor and patient and learn key principles for implementing ethical AI for progress with Responsible AI for Health Care: Concepts and Applications.

Learning objectives

• Explore real-world applications of LLMs in health care, emphasizing ethical use cases, patient privacy, and mitigation of biases
• Learn techniques for improving the performance of AI through effective prompt engineering and model tuning
• Outline the steps for integrating AI into health care settings, focusing on ethical deployment, stakeholder engagement, and compliance with regulatory frameworks
• Identify future challenges and opportunities in AI
• Anticipate emerging issues and potential advancements in AI, with a focus on ensuring ethical practices and addressing societal impacts