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This upcoming course explores the transformative role of artificial intelligence (AI) in healthcare, focusing on how algorithmic bias impacts health disparities. Participants will examine ethical challenges, policy implications, and the potential of AI to both mitigate and exacerbate healthcare inequities.
The course integrates perspectives from public health, social policy, health services research, technology, ethics, law, and healthcare.
Enroll by March 25 to start classes April 2025.
The AI and Healthcare course is a non-credit online certificate course that explores how artificial intelligence (AI) transforms healthcare while amplifying systemic biases. It examines how algorithmic decision-making affects patient outcomes, access to care, and health equity.
The course is led by Dr. Natasha H. Williams, a highly accomplished expert with extensive experience at the intersection of AI, healthcare law, and public policy. Dr. Williams holds a PhD, JD, LLM, and MPH. She has played a pivotal role in public health initiatives focused on vulnerable populations and is a leading voice in addressing algorithmic bias and health disparities, authoring the book Artificial Intelligence and Healthcare: The Impact of Algorithmic Bias and Health Disparities.
It is an 8-week, fully online course that is asynchronous and synchronous. Once a week, the course instructor meets with students at a set time.
There are one and a half online classes once a week and up to five hours of self-paced learning.
Non-credit credentials at Brandeis Online have a simple and quick enrollment process.
Once your deposit is received, you will be introduced to your student advisor who will provide you with course materials and help you set up your Brandeis student account.
No! This course is ideal for people interested in healthcare, technology, public policy, data ethics, and social impact and everyone interested in healthcare. No prior experience in AI or healthcare is required. An individual’s willingness to engage with critical issues at the intersection of technology and racial justice is enough to take this course.
After successful completion of the course, you will earn a certificate but it is a non-credit course.
Enrollment is open to all.
This course draws from real-world cases and policy debates and equips students with the tools to assess AI-driven healthcare systems. It will also discuss ongoing regulatory efforts and ethical frameworks for ensuring AI promotes health equity.