Responsible AI: Transparency & Ethics
Responsible AI: Transparency & Ethics
This course is part of Building Trustworthy AI Specialization
Instructors: Brian Newman
Access provided by Seminole State College
Intermediate level
Recommended experience
Flexible schedule
Learn at your own pace
What you'll learn
Identify common sources of bias in AI systems and apply tools to assess and mitigate them.
Implement explainability methods, such as SHAP and LIME, to interpret and effectively communicate model behavior.
Develop a responsible AI checklist aligned with transparency and fairness principles and apply it to AI projects to ensure ethical compliance.
Evaluate AI projects for potential ethical risks and ensure alignment with compliance frameworks, such as the NIST AI RMF.
Skills you'll gain
Tools you'll learn
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
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This course is part of the Building Trustworthy AI Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
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