Responsible AI
3 courses·EN
Examine principles and governance choices for developing and using AI responsibly.
These lessons focus on accountability and decision processes. AI Literacy explains the basics; individual organizational policies still need their own review.
A route through the topic
Start with the introductory explanation below, then choose a focused lesson for the task or question you want to explore.
Courses in this topic
Responsible AI Fundamentals
This training introduces the core principles of responsible AI, including fairness, transparency, and accountability, for professionals seeking to build and deploy ethical AI systems.
14 slides·28 min
Responsible AI Key Principles
Learn key principles of responsible AI, including types, patterns, and real-world examples, to build ethical and trustworthy AI systems.
14 slides·28 min
ML Governance Essentials
This training introduces machine learning governance principles, covering model risk management, compliance, and ethical considerations for professionals overseeing ML systems.
14 slides·28 min