GenAI for Healthcare Ethics

In this course, you’ll explore the power of Generative AI and learn how to mitigate its ethical challenges. You’ll gain practical tools to ensure that AI-driven healthcare systems are fair, transparent, and prioritize patient well-being. From tackling bias in AI models to developing informed consent policies, this course will empower you to lead the way in ethical AI integration. This course is ideal for healthcare professionals, AI developers, or anyone curious about the intersection of AI and medicine. No prior AI experience is necessary, but a basic understanding of healthcare processes or data privacy will enhance your learning experience. Learners should have foundational knowledge of healthcare and basic technological literacy. Familiarity with concepts like patient care or data ethics will be helpful but is not mandatory. By the end of this course, learners will be equipped with knowledge and tools to ethically integrate generative AI in healthcare settings. They will be able to identify and mitigate bias in AI models, ensuring fairness and accuracy in medical decision-making. Additionally, learners will develop strategies for creating transparent, patient-centered informed consent policies while ensuring compliance with data privacy regulations and healthcare standards. This will enable them to confidently apply AI solutions that prioritize patient safety and trust

• Implement ethical frameworks for AI integration in clinical settings
• Mitigate bias risks in medical AI models
• Develop informed consent policies focused on transparency and data privacy

• Basic computer and internet skills
• Ability to follow English instructions and complete practice activities