Duke University

Human Factors in AI

This course is part of AI Product Management Specialization

Taught in English

Some content may not be translated

Jon Reifschneider

Instructor: Jon Reifschneider

9,378 already enrolled

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

4.7

(69 reviews)

Beginner level

Recommended experience

17 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Identify and mitigate privacy and ethical risks in AI projects

  • Apply human-centered design practices to design successful AI product experiences

  • Build AI systems that augment human intelligence and inspire model trust in users

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

4 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.7

(69 reviews)

Beginner level

Recommended experience

17 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

Placeholder

Build your subject-matter expertise

This course is part of the AI Product Management 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
Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

There are 4 modules in this course

In this module we will discuss approaches and tools to perform human-centered design, which is critical to designing successful AI products. We will then walk through the key challenges involved in the user experience design of AI products and how to resolve them.

What's included

12 videos5 readings1 quiz3 discussion prompts

In this module we will focus on data privacy as it relates to AI products. We will first cover best practices in ensuring user privacy and the relevant U.S. and international privacy laws to be aware of. We will then discuss how AI creates unique challenges in ensuring privacy and some of the methods and tools which can be employed to protect the privacy of user data.

What's included

8 videos3 readings1 quiz1 discussion prompt

In this module we will discuss the three main goals of ethical AI: fairness, accountability and transparency. We will identify common sources of bias in modeling projects and discuss approaches to detecting and mitigating bias, including organizational, process, and technical components.

What's included

6 videos3 readings1 quiz1 discussion prompt1 plugin

In this module we will begin with differentiating between human intelligence and artificial intelligence, and then examine ways that they can compliment each other. We will conclude the course by learning about approaches to encourage adoption and inspire trust among users in your model.

What's included

7 videos2 readings1 quiz1 peer review1 discussion prompt

Instructor

Instructor ratings
4.8 (24 ratings)
Jon Reifschneider
Duke University
3 Courses41,901 learners

Offered by

Duke University

Recommended if you're interested in Machine Learning

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

Showing 3 of 69

4.7

69 reviews

  • 5 stars

    78.26%

  • 4 stars

    17.39%

  • 3 stars

    1.44%

  • 2 stars

    1.44%

  • 1 star

    1.44%

BT
5

Reviewed on Oct 4, 2023

RA
5

Reviewed on Sep 16, 2023

VN
5

Reviewed on Jun 10, 2023

New to Machine Learning? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions