Duke University - Human Factors in AI
- Offered byCoursera
Human Factors in AI at Coursera Overview
Duration | 17 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Human Factors in AI at Coursera Highlights
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 3 of 3 in the AI Product Management Specialization
Human Factors in AI at Coursera Course details
- 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
Human Factors in AI at Coursera Curriculum
Design of AI Product Experiences
Specialization Overview
Instructor Introduction
Course Overiew
Introduction and Objectives
Design Thinking
Task Analysis
AI User Experience Design Considerations
User Inputs
Transparency
Communicating Uncertainty
Feedback Loops
Module Wrap-up
About the Course
Download Module Slides
An Introduction to Design Thinking Process Guide
Human-Centered Machine Learning
ML has uncertainty. Design for it.
Module 1 Quiz
Data Privacy and AI
Introduction and Objectives
Introduction to Data Privacy
Fair Information Practices (FIPs)
U.S. Privacy Regulation
E.U. General Data Protection Regulation (GDPR)
Privacy Challenges in AI
Protecting Privacy in AI
Module Wrap-up
Download Module Slides
Your apps know where you were last night. And they're not keeping it a secret
Federated Learning: Building better products with on-device data and privacy by default
Module 2 Quiz
Ethics in AI
Introduction and Objectives
Fair, Accountable & Transparent AI
Types & Sources of Bias
Mitigating Potential Ethical Risks
Detecting & Resolving Fairness Issues
Module Wrap-up
Download Module Slides
Machine Bias
Datasheets for Datasets
Module 3 Quiz
Human and Societal Considerations
Introduction and Objectives
AI and Human Intelligence
Automation vs. Augmentation
Inspiring Model Trust
Change Management
Module Wrap-up
Course Wrap-up
Download Module Slides
Cognitive Collaboration: Why Humans and Computers Think Better Together
Module 4 Quiz
Human Factors in AI at Coursera Admission Process
Important Dates
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