Courses / Biomedical AI Alignment
Module 2 of 7
Biomedical AI Alignment
Learn how to build safe, fair, and trustworthy biomedical AI systems. This module covers bioethics, FDA regulation, liability, fairness, privacy, and the societal impact of AI in healthcare. Learners explore bias mitigation, safety monitoring, human–AI teaming, and ethical principles for deploying biomedical AI responsibly.
Free
Format · Online
Start date · Aug 31, 2026
Duration · 2 weeks
Time · 5 hrs / week
Microskills · 7
CME credits · 11
What you will gain
Course Outcomes
Integration of AI techniques
Integrate AI and ML into healthcare research and clinical practice.
Real-world data application
Use real medical data and case studies to address healthcare challenges.
Practical AI skills
Work with code-free AI/ML tools — no programming knowledge needed.
Critical thinking
Analyze complex healthcare problems through AI-driven insights and methodologies.
What you will learn
Microskills in this Module
Each module covers 5 AI microskills plus one Scientific Rigor and Reproducibility (SRR) and one Responsible Conduct of Research (RCR) microskill.
- Fundamentals of biomedical AI ethics and liability
- Bias, fairness, and societal impact of biomedical AI
- The regulatory landscape of biomedical AI
- Biomedical AI quality and safety
- Human-AI collaboration in biomedicine
- The fundamental principles of bioethics
- Responsible conduct of AI research
Meet your instructors
Expert Faculty from the University of Florida

Azra Bihorac MD, MS
Senior Associate Dean for Research Affairs · Director, IC3

Elizabeth Palmer PhD
Asst. Director of Training & Education

Barbara Evans, PhD, MS
Associate Dean of Law

Jasmine McNealy, PhD, JD
Professor for Department of Media Productions, Management, and Technology, Director, Infrastructure for Communities, Ecology for Data (ICED) Hub

Jeremy Balch MD
General Surgery Resident

Tezcan Ozrazgat Baslanti, PhD
Research Associate Professor
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Free enrollment. No coding required. Two cohorts per year — Spring and Fall.
