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Jon Reifschneider
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.
Read more
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.
Read more
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
Register for this course and see more details by visiting:
OpenCourser.com/course/omsijl/human
What's inside
Syllabus
Design of AI Product Experiences
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.
Read more
Syllabus
Design of AI Product Experiences
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.
Read more
Data Privacy and AI
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.
Ethics in AI
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.
Human and Societal Considerations
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.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores privacy risks and ethical implications inherent in AI projects
Emphasizes data privacy practices in accordance with U.S. and international laws
Facilitates understanding of ethical considerations in AI, including fairness, accountability, and transparency
Investigates methods for identifying and addressing bias in AI models
Provides insights into the interplay between human and artificial intelligence
Taught by instructors with expertise in the AI field
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Activities
Be better prepared
before
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during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Human Factors in AI with these
activities:
Follow tutorials on designing user interfaces for AI products
Show steps
Delve into tutorials on designing user interfaces for AI products, enhancing your skills in creating intuitive and engaging experiences.
Browse courses on
User Experience Design
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-
Explore tutorials and resources on UI design principles for AI products.
-
Apply these principles to design mockups or prototypes.
Review binary classification problems
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Engage in practice drills to solidify understanding of binary classification problems, a fundamental concept in AI.
Browse courses on
Binary Classification
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-
Work through practice problems that involve binary classification.
Read 'Human-Centered AI: A Practical Guide'
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Review the book 'Human-Centered AI: A Practical Guide' to gain insights into designing AI products that prioritize user needs and ethical considerations.
View
Human-Centered AI
on Amazon
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-
Read through the chapters on human-centered design principles.
-
Identify key concepts and best practices for designing AI products that align with human needs.
Five other activities
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Solve case studies on AI ethics
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Engage in case studies on AI ethics to develop critical thinking skills and navigate ethical dilemmas in the field.
Browse courses on
AI Ethics
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-
Analyze real-world scenarios involving AI ethical challenges.
-
Identify potential risks and benefits.
-
Propose solutions and discuss implications.
Develop a data privacy policy for an AI-based product
Show steps
Create a data privacy policy that addresses the ethical and legal considerations of using AI in products, promoting responsible data handling practices.
Browse courses on
Data Privacy
Show steps
-
Identify the data collected by the AI product.
-
Determine how the data will be used.
-
Develop a plan to secure the data.
-
Write the privacy policy.
Participate in online discussion forums on AI ethics
Show steps
Engage in discussions with peers on AI ethics, exchanging perspectives and deepening your understanding of ethical considerations in the field.
Browse courses on
AI Ethics
Show steps
-
Join online forums or discussion groups focused on AI ethics.
-
Participate in discussions and share your thoughts on ethical issues.
-
Engage with other participants to gain diverse perspectives.
Participate in an AI hackathon
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Engage in an AI hackathon to apply your skills in a practical setting, fostering innovation and collaboration.
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AI Applications
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-
Form a team and brainstorm ideas.
-
Develop a prototype or solution.
-
Present your work to a panel of judges.
Write a blog post about the latest trends in AI
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Compose a blog post summarizing the latest advancements and trends in the field of AI, demonstrating your understanding and ability to communicate complex topics.
Browse courses on
AI Trends
Show steps
-
Conduct research on recent AI developments and applications.
-
Organize and structure the content in a clear and engaging manner.
-
Write and edit the blog post, ensuring clarity and accuracy.
Follow tutorials on designing user interfaces for AI products
Show steps
Delve into tutorials on designing user interfaces for AI products, enhancing your skills in creating intuitive and engaging experiences.
Browse courses on
User Experience Design
Show steps
Show steps
Show steps
- Explore tutorials and resources on UI design principles for AI products.
- Apply these principles to design mockups or prototypes.
Review binary classification problems
Show steps
Engage in practice drills to solidify understanding of binary classification problems, a fundamental concept in AI.
Browse courses on
Binary Classification
Show steps
Show steps
Show steps
- Work through practice problems that involve binary classification.
Read 'Human-Centered AI: A Practical Guide'
Show steps
Review the book 'Human-Centered AI: A Practical Guide' to gain insights into designing AI products that prioritize user needs and ethical considerations.
View
Human-Centered AI
on Amazon
Show steps
Show steps
Show steps
- Read through the chapters on human-centered design principles.
- Identify key concepts and best practices for designing AI products that align with human needs.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Solve case studies on AI ethics
Show steps
Engage in case studies on AI ethics to develop critical thinking skills and navigate ethical dilemmas in the field.
Browse courses on
AI Ethics
Show steps
Show steps
Show steps
- Analyze real-world scenarios involving AI ethical challenges.
- Identify potential risks and benefits.
- Propose solutions and discuss implications.
Develop a data privacy policy for an AI-based product
Show steps
Create a data privacy policy that addresses the ethical and legal considerations of using AI in products, promoting responsible data handling practices.
Browse courses on
Data Privacy
Show steps
Show steps
Show steps
- Identify the data collected by the AI product.
- Determine how the data will be used.
- Develop a plan to secure the data.
- Write the privacy policy.
Participate in online discussion forums on AI ethics
Show steps
Engage in discussions with peers on AI ethics, exchanging perspectives and deepening your understanding of ethical considerations in the field.
Browse courses on
AI Ethics
Show steps
Show steps
Show steps
- Join online forums or discussion groups focused on AI ethics.
- Participate in discussions and share your thoughts on ethical issues.
- Engage with other participants to gain diverse perspectives.
Participate in an AI hackathon
Show steps
Engage in an AI hackathon to apply your skills in a practical setting, fostering innovation and collaboration.
Browse courses on
AI Applications
Show steps
Show steps
Show steps
- Form a team and brainstorm ideas.
- Develop a prototype or solution.
- Present your work to a panel of judges.
Write a blog post about the latest trends in AI
Show steps
Compose a blog post summarizing the latest advancements and trends in the field of AI, demonstrating your understanding and ability to communicate complex topics.
Browse courses on
AI Trends
Show steps
Show steps
Show steps
- Conduct research on recent AI developments and applications.
- Organize and structure the content in a clear and engaging manner.
- Write and edit the blog post, ensuring clarity and accuracy.
Career center
Learners who complete Human Factors in AI will develop knowledge and skills
that may be useful to these careers:
AI Ethicist
AI Ethicist
The Human Factors in AI course can help you prepare for a career as an AI Ethicist. This course will teach you about the ethical considerations of AI development, such as how to avoid bias and how to protect user privacy. These skills are essential for developing AI products that are both effective and ethical.
AI Product Designer
AI Product Designer
The Human Factors in AI course can help you prepare for a career as an AI Product Designer. This course will teach you about human-centered design, UX design for AI products, and the ethical considerations of AI development. These skills are essential for designing AI products that are both user-friendly and ethical.
AI Regulatory Affairs Specialist
AI Regulatory Affairs Specialist
The Human Factors in AI course can help you prepare for a career as an AI Regulatory Affairs Specialist. This course will teach you about the ethical and regulatory considerations of AI development. These skills are essential for developing and implementing AI products that are both effective and ethical.
AI UX Designer
AI UX Designer
The Human Factors in AI course can help you prepare for a career as an AI UX Designer. This course will teach you about the unique challenges of designing UX for AI products, such as how to handle uncertainty and how to make sure that AI products are understandable and trustworthy. These skills are essential for designing AI products that are both effective and enjoyable to use.
AI Policy Analyst
AI Policy Analyst
The Human Factors in AI course can help you prepare for a career as an AI Policy Analyst. This course will teach you about the ethical and policy considerations of AI development. These skills are essential for developing and implementing AI policies that are both effective and ethical.
AI Risk Manager
AI Risk Manager
The Human Factors in AI course can help you prepare for a career as an AI Risk Manager. This course will teach you about the ethical and risk considerations of AI development. These skills are essential for developing and implementing AI products that are both effective and ethical.
AI Auditor
AI Auditor
The Human Factors in AI course can help you prepare for a career as an AI Auditor. This course will teach you about the ethical and regulatory considerations of AI development. These skills are essential for auditing AI products and ensuring that they are both effective and ethical.
AI Safety Engineer
AI Safety Engineer
The Human Factors in AI course can help you prepare for a career as an AI Safety Engineer. This course will teach you about the ethical and safety considerations of AI development. These skills are essential for developing and implementing AI products that are both effective and ethical.
Machine Learning Engineer
Machine Learning Engineer
The Human Factors in AI course can help you prepare for a career as a Machine Learning Engineer. This course will teach you about the ethical considerations of AI development, such as how to avoid bias and how to protect user privacy. These skills are essential for developing AI products that are both effective and ethical.
Data Scientist
Data Scientist
The Human Factors in AI course can help you prepare for a career as a Data Scientist. This course will teach you about the ethical considerations of AI development, such as how to avoid bias and how to protect user privacy. These skills are essential for developing AI products that are both effective and ethical.
AI Researcher
AI Researcher
The Human Factors in AI course can help you prepare for a career as an AI Researcher. This course will teach you about the ethical considerations of AI development, such as how to avoid bias and how to protect user privacy. These skills are essential for developing AI products that are both effective and ethical.
Cognitive Scientist
Cognitive Scientist
The Human Factors in AI course can help you prepare for a career as a Cognitive Scientist. This course will teach you about the cognitive processes that are involved in human-AI interaction. These skills are essential for designing AI products that are both effective and user-friendly.
User Experience Researcher
User Experience Researcher
The Human Factors in AI course can help you prepare for a career as a User Experience Researcher. This course will teach you about the methods for evaluating the user experience of AI products. These skills are essential for ensuring that AI products are both effective and user-friendly.
Human-Computer Interaction Designer
Human-Computer Interaction Designer
The Human Factors in AI course can help you prepare for a career as a Human-Computer Interaction Designer. This course will teach you about the principles of human-centered design, which are essential for designing AI products that are both effective and user-friendly.
Social Scientist
Social Scientist
The Human Factors in AI course may help you prepare for a career as a Social Scientist. This course will teach you about the social and ethical implications of AI development. These skills are essential for understanding the impact of AI on society and for developing AI products that are both effective and ethical.
For more career information including salaries, visit:
OpenCourser.com/course/omsijl/human
Reading list
We've selected 14 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Human Factors in AI.
This classic HCI textbook provides a comprehensive overview of the field, including a comprehensive treatment of human-centered design.
Save
Provides a comprehensive overview of human-centered AI, with a focus on the design and evaluation of AI systems.
Provides a comprehensive overview of the ethical issues surrounding AI, with a focus on the design and evaluation of AI systems.
Save
This reference book valuable resource for those interested in the technical details of deep learning, providing a comprehensive overview of the field's algorithms and architectures.
Save
Provides a thought-provoking exploration of the potential risks and challenges associated with the development of superintelligent AI systems.
Provides a comprehensive overview of natural language processing, with a focus on practical applications.
Save
Provides a comprehensive overview of computer vision, with a focus on practical applications.
Provides a comprehensive overview of robotics, with a focus on practical applications.
Provides a comprehensive overview of the future of humanity, with a focus on the role of AI.
Explores the long-term implications of AI, discussing the potential risks and benefits of developing artificial intelligences that are more capable than humans.
Save
Explores the potential impact of AI on human society, discussing the challenges and opportunities that lie ahead.
Save
Provides a comprehensive overview of human intelligence, including a discussion of how AI can be used to both automate and assist human decision-making.
Provides a comprehensive overview of reinforcement learning, with a focus on practical applications.
Save
Provides a broad overview of the future of humanity, discussing the potential impact of AI and other technological advances.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/omsijl/human
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Effort
4 weeks of study, 3-5 hours per week
Level
Introductory
Via
Coursera
Institution
Duke University
Instructor
Jon Reifschneider
Language
English
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This course belongs to a
collection
called
AI Product Management. It's comprised of three courses:
- Managing Machine Learning Projects
- Machine Learning Foundations for Product Managers
- Human Factors in AI (viewing)
Good to know
Explores privacy risks and ethical implications inherent in AI projects
Emphasizes data privacy practices in accordance with U.S. and international laws
Facilitates understanding of ethical considerations in AI, including fairness, accountability, and transparency
Investigates methods for identifying and addressing bias in AI models
Provides insights into the interplay between human and artificial intelligence
Taught by instructors with expertise in the AI field
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