GenAI for Healthcare Ethics
In this course, you’ll harness the power of Generative AI while addressing its ethical challenges. Learn to ensure fairness, transparency, and patient-focused care in AI systems.
Overview
This course includes:
- 3 hours of on-demand video
- Certificate of completion
- Direct access/chat with the instructor
- 100% self-paced online
Generative AI is revolutionizing healthcare, driving advancements in medical imaging, drug discovery, and personalized medicine. From generating synthetic medical images to enhancing clinical research without compromising patient privacy, the possibilities are groundbreaking. However, with these innovations come critical ethical challenges, including bias in AI models that can lead to inequities in patient care. Studies show that AI-generated medical images often struggle with accuracy across diverse populations, raising concerns about fairness, transparency, and equity.
This course is designed for healthcare professionals, AI developers, and anyone curious about the future of medicine. You’ll gain practical strategies to ensure ethical and unbiased implementation of AI solutions in healthcare. Learn to address data bias, enhance transparency, and develop equitable AI systems that prioritize patient well-being while unlocking the full potential of Generative AI in medicine.
Skills You Will Gain
Learning Outcomes (At The End Of This Program, You Will Be Able To...)
- Implement ethical frameworks for integrating generative AI in clinical settings.
- Mitigate bias risks in generative AI models used for medical decisions.
- Develop informed consent policies for the use of generative AI in patient care based on transparency and data privacy.
Prerequisites
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.
Who Should Attend
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.
