Professor
AI Ethics, Responsible Use, and Creativity
What You'll Learn
- Learn skills to evaluate and employ AI tools successfully and sustainably
- Assess the risk of generative AI tools for your creative work
- Understand responsible AI use
6 Modules
6 Hours
1 hr per module (approx.)
Rating
About AI Ethics, Responsible Use, and Creativity
“AI Ethics, Responsible Use, & Creativity” explores ethics and responsible use of generative AI tools for creative work. After completing this course, you will learn how to engage with generative AI tools with an eye toward intentionality, sustainability, and responsibility.
You will learn the SIFT (Specify, Identify, Focus, Trust) process for evaluating AI tools. This compact method helps learners employ AI successfully and sustainably by realistically approaching the technology and prioritizing intentional decision-making for individuals and enterprises. You will learn the practical application of the SIFT framework by using it to evaluate tools and creative work developed in the first course. You will also learn about the reputational and legal risks of using AI in creative fields. You will explore issues of environmental cost, cultural bias, and data risks of contemporary GenAI tools through readings and a guest lecture by expert Justin Joque.
This is the second course in “AI for Creative Work,” a series exploring how artificial intelligence can enhance the work of creatives.
Skills You'll Gain
- Data Ethics
- Ethical AI
- Leadership
- Responsible AI
- User Analysis
What You'll Earn
- Certificate of Completion:
- Certificates of completion acknowledge knowledge acquired upon completion of a non-credit course or program.
Welcome Message
Welcome to AI Ethics, Responsible Use, and Creativity, a course in the AI for Creative Work short course series. This course focuses on ethical, legal, and social considerations when using artificial intelligence in creative practice. Learners will develop skills to evaluate AI tools responsibly, assess risk and bias, and make informed decisions about AI use in personal and professional creative contexts.
This abbreviated syllabus description was created with the help of AI tools and reviewed by staff. The full syllabus is available to those who enroll in the course.
Course Schedule
Module 1: Introduction to the Course
- Video: Welcome to the Course
- Reading: Course Syllabus
- Reading: Help Us Learn About You!
- Discussion Prompt: Introduce Yourself
Module 2: Introduction to Legal and Ethical Considerations
- Reading: Course Introduction
- Video: Using Generative AI Responsibly
- Reading: Activity: Responsible Usage of Generative AI
- Video: AI and Legal Considerations
- Video: Overview of Reputational Concerns
- App Item: Reputational Concerns
- App Item: Legal Concerns
Module 3: The SIFT Framework
- Video: Introduction to SIFT
- Video: Specify
- Video: Identify
- Video: Focus
- Video: Trust
- App Item: Reflection: Connecting SIFT to Your Work
Module 4: Risks and Your Work
- Reading: Introduction to Risks and Your Work
- Reading: Meet Justin Joque
- Video: Lecture with Justin Joque
- Reading: Racial Bias in Music
- Reading: Environmental Issues
- App Item: Reflection: Risks and Your Work
Module 4: Evaluating AI for You and Your Company
- Video: How Companies Use AI for Creative Work
- Video: Thinking Critically About Investment in AI Tools
- Reading: Closing Remarks
- Reading: Post-Course Survey
- Graded: Knowledge Check
Grading Policy
Course materials are self-paced and remain open throughout the course. To pass and earn a certificate, learners must achieve an overall grade of 80% or higher. The final grade is based entirely on the Knowledge Check, which accounts for 100% of the course grade.
Lecturer
Course content developed by U-M faculty and managed by the university. Faculty titles and affiliations are updated periodically.
Beginner Level
Specialists in any creative discipline, creative-adjacent workers, such as marketers, and directors of creatives can benefit from this series.
