138. Ethical Data Science in Public Health: AI, Privacy & Equity

About this lesson

Welcome to Module 7.17: Ethical Data Science in Public Health. As data science and AI become central to public health, ethical questions multiply. This module helps college students and early-career researchers navigate issues of privacy, bias, and justice in big data and machine learning. Learn how to apply ethical principles in this fast-evolving field.

Key Takeaways

Understand privacy, consent, and group harm risks in large-scale data use.

Explore AI ethics, including fairness, explainability, and the need for human oversight.

Apply ethical tools like algorithmic impact assessments and participatory design to real-world public health data science.

Ensure innovation goes hand in hand with integrity, equity, and community respect.

Lesson notes

Full written notes for this lesson are in production. Until they publish, watch the video above and use the summary on this page as your study guide.