Back to Human Factors in AI
Learner Reviews & Feedback for Human Factors in AI by Duke University
127 ratings
About the 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
Top reviews
AM
Feb 11, 2023
Excellent course concept and material.Peer review grading process needs human and AI monitoring as a course completion certificate would inspire learners to register for this course in the future
AI
Sep 25, 2024
Well structured, very good presenter, training material perfect. Benchmark for a highly effective course!
Filter by:
26 - 28 of 28 Reviews for Human Factors in AI
By Ravi B
•Jan 19, 2025
Good concept on how to handler the AI and there ehtics and use case
By Lionel H
•Jun 3, 2024
very interesting and the teacher is very clear
By Shubhashis P
•Oct 25, 2023
Quite an eye opener