Artificial Intelligence Ethics in Action
Implement ethical principles in real-world AI applications to ensure responsible use of technology, promote fairness, and protect user rights and privacy.
Implement ethical principles in real-world AI applications to ensure responsible use of technology, promote fairness, and protect user rights and privacy.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Ethics in the Age of AI Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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English
Română, Српски / Srpski
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What you'll learn
Analyze ethical implications of AI systems
Implement ethical AI frameworks
Evaluate AI bias and fairness
Develop ethical AI solutions
Apply principles to real case studies
Skills you'll gain
This course includes:
0.7 Hours PreRecorded video
3 assignments
Access on Mobile, Desktop, Tablet
FullTime access
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There are 4 modules in this course
This hands-on course applies ethical principles to real AI projects. Students analyze cases including GPT-3 implementation and algorithmic fairness through practical exercises.
Introduction to Ethics in Action
Module 1 · 0 Hours to complete
Project 1: GPT-3 Analysis
Module 2 · 2 Hours to complete
Project 2: Alleghany Screening
Module 3 · 2 Hours to complete
Project 3: Game Theory Design
Module 4 · 1 Hours to complete
Fee Structure
Instructor
Distinguished Technology Educator and Ethics in Computer Science Expert
Brent Summers serves as an instructor at LearnQuest, bringing expertise in software development and a unique focus on the intersection of technology and psychology. His teaching portfolio emphasizes ethical considerations in artificial intelligence and computer science. As a former education company founder, he brings entrepreneurial experience to his role as an educator. His courses focus on critical aspects of AI ethics, including algorithmic fairness, data privacy, and ethical implementation of artificial intelligence technologies. His teaching methodology combines technical expertise with psychological insights to help students understand both the technical and ethical implications of modern technology.
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Frequently asked questions
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