Human Factors in AI
This third and final course of the AI Product Management Specialization by Duke University's Pratt School of Engineering focuses on the critical human factors...
By Jon Reifschneider on Coursera
About This Course
This third and final course of the AI Product Management Specialization by Duke University's Pratt School of Engineering focuses on the critical human factors in developing AI-based products. The course begins with an introduction to human-centered design and the unique elements of user experience design for AI products. Participants will then learn about the role of data privacy in AI systems, the challenges of designing ethical AI, and approaches to identify sources of bias and mitigate fairness issues. The course concludes with a comparison of human intelligence and artificial intelligence, and a discussion of the ways that AI can be used to both automate as well as assist human decision-making. At the conclusion of this course, you should be able to: 1) Identify and mitigate privacy and ethical risks in AI projects 2) Apply human-centered design practices to design successful AI product experiences 3) Build AI systems that augment human intelligence and inspire model trust in users
Frequently Asked Questions
How much does Human Factors in AI cost?
Visit the Human Factors in AI course page for current pricing and available discounts.
Who teaches Human Factors in AI?
Human Factors in AI is taught by Jon Reifschneider, Duke University.
What skill level is Human Factors in AI for?
This course is designed for beginner learners.
Similar Courses
Animate Your Watercolor Illustrations with Photoshop and After Effects
Will Kim
Adobe Photoshop for Artists - Digitize, Present and Monetize Your Art
The Artmother
How To Create A Modern Flat Design Camping in Adobe Illustrator
Dawid Tuminski
Make Patterns from Sketches & Digital Art in Adobe Photoshop - A Graphic Design for Lunch™ Class
Helen Bradley