AI Ethics, Responsible Use, and Creativity
Learn ethical frameworks and practical tools to evaluate and responsibly implement AI in creative work, including the SIFT process for sustainable AI adoption.
Learn ethical frameworks and practical tools to evaluate and responsibly implement AI in creative work, including the SIFT process for sustainable AI adoption.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full AI for Creative Work Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Learn to apply the SIFT framework for evaluating AI tools in creative contexts
Assess legal considerations and potential risks of using generative AI
Understand reputational concerns associated with AI implementation
Identify cultural biases and ethical issues in AI-generated content
Evaluate the environmental impact and sustainability of AI tools
Make informed decisions about appropriate AI adoption for specific creative needs
Skills you'll gain
This course includes:
0.67 Hours PreRecorded video
1 assignment
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There are 6 modules in this course
This course explores the ethical considerations and responsible use of generative AI tools in creative work. Students learn the SIFT (Specify, Identify, Focus, Trust) process for evaluating AI tools - a compact method that helps learners employ AI successfully and sustainably through realistic technology assessment and intentional decision-making. The curriculum addresses the practical application of the SIFT framework by using it to evaluate tools and creative work from previous coursework. The course thoroughly examines the reputational and legal risks associated with AI use in creative fields, including environmental costs, cultural bias, and data privacy concerns. Through readings and guest lectures by experts like Justin Joque, students gain a comprehensive understanding of the ethical dimensions of contemporary generative AI. As the second course in the "AI for Creative Work" specialization, it builds upon foundational knowledge while preparing students to make responsible choices when incorporating AI into their creative practice.
Introduction to the Course
Module 1 · 0 Hours to complete
Introduction to Legal and Ethical Considerations
Module 2 · 2 Hours to complete
SIFT Framework
Module 3 · 0 Hours to complete
Risks and Your Work
Module 4 · 0 Hours to complete
Evaluating AI for You and Your Company
Module 5 · 0 Hours to complete
Bonus Content
Module 6 · 0 Hours to complete
Fee Structure
Instructors
A Visionary Composer and Music Scholar Bridging Music and Technology
Garrett Schumann is a composer and scholar who teaches music-oriented liberal arts courses for the University of Michigan’s College of Literature, Sciences and the Arts. Garrett’s research interests include the intersection of music and technology, classical composers with marginalized identities
Renowned Musicologist and Educator at the University of Michigan
Charles Hiroshi Garrett joined the University of Michigan faculty in 2004. His research and teaching centers on music and musical cultures of the United States in the twentieth and twenty-first centuries, with special interest in popular music, jazz,.technology, sound studies, digital culture,
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