Document and Evaluate AI Ethics is an intermediate course that equips engineers, auditors, and AI practitioners with the concrete skills to move from ethical principles to engineering practice. You will learn to create comprehensive model cards that document a system's intended use, dataset origins, performance metrics, and limitations, ensuring every stakeholder understands what the system does and where it might fail.
Document and Evaluate AI Ethics
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Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
3 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Create comprehensive documentation and conduct ethical evaluations of large language model systems to ensure responsible AI deployment.
Skills you'll gain
Details to know
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Recently updated!
December 2025
Taught in English
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There are 2 modules in this course
Have you ever released an AI feature only to realize no one could clearly explain what it does or where its data came from? That gap begins with missing documentation. This module shows how structured model cards build trust and accountability. You will capture a model’s purpose, dataset origins, fairness metrics, and limits, creating documentation that speaks to both engineers and stakeholders and keeps AI systems transparent.
What's included
2 videos3 readings1 assignment1 ungraded lab
Have you ever seen an AI output that felt biased or off and wondered what caused it? Ethical issues often hide in oversight, not code. This module shows how to identify and address those risks before they escalate by applying structured audit frameworks to evaluate fairness and compliance in AI systems.
What's included
2 videos1 reading2 assignments1 ungraded lab
Instructor
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