Data Science & AI
advanced
AI Ethics, Safety & Governance
A comprehensive course covering AI ethics. Topics include bias in AI, fairness, transparency, explainable AI, AI safety, alignment problem, deepfakes, AI regulation, responsible AI development, and societal impact. Designed for advanced level learners.
8 hours
4 modules
14 lessons
1 enrolled
Dr
Dr. Priya Patel
Professor of Data Science & Artificial Intelligence
Free
Full access to all course materials
Course Content
Foundations of Transparency
4 lessons
Bias in AI
32 min
Fairness
34 min
Transparency
29 min
Applying Bias in AI
29 min
Understanding Alignment Problem
4 lessons
Explainable AI
24 min
AI Safety
29 min
Alignment Problem
28 min
Applying Explainable AI
29 min
Working with Responsible AI Development
4 lessons
Deepfakes
32 min
AI Regulation
29 min
Responsible AI Development
33 min
Applying Deepfakes
23 min
Societal Impact
2 lessons
Societal Impact
21 min
Applying Societal Impact
23 min