This specialization helps you understand generative artificial intelligence’s role in creative work, including exploring AI tools, ethical and responsible use, and a big-picture look at AI’s impact on human expression. In each course, you will learn from video lectures featuring instructors and guest experts, reflective writing assignments, and hands-on work with AI tools. Through this material, you will explore the deep connections between generative AI technology and creative practice while also building concrete skills for evaluating and employing AI tools successfully and sustainably.

Learn how to use artificial intelligence tools in your creative work. “AI Basics and Tools for Creativity” explores AI’s application to music and design along with a more general overview of the contemporary landscape of generative AI technologies.  Analyze your work habits, enjoy hands-on experiences using different AI tools, view expert lectures,  and engage in reflective writing that helps frame your engagement with AI tools.  You will also learn how to identify AI-generated media, explore the limits of AI tools, and reflect on your preconceptions of AI. In addition to hearing from the primary instructors, learners will also hear from expert practitioners Adam Kunz and Aly Amedei, who use AI in their design practices. With this course, you will establish a strong foundation for how to apply AI in your creative work. 

This is the first course in “AI for Creative Work,” a series exploring how artificial intelligence can enhance the work of creatives.

AI Basics and Tools for 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.

AI Ethics, Responsible Use, and Creativity

“Using AI to Expand Creativity” encourages you to think deeply about AI and its relationship to the essential humanity of creative expression. With the rapid adoption, growth, and development of contemporary AI tools, we believe teaching you how to think about this fundamental dynamic will prepare you for an unpredictable future. This course features instructor-led discussions of the history of AI's implementation in twentieth and twenty-first-century art and a contemplation of technology's basic impact on creative practice. Guest lectures also feature experts Brian Miller, Brian Gogan, Julie Zhu, and Kelly Hoppenjans, who will discuss experimental uses of AI tools, including AI-powered robotic musical performance. As the final course in this three-course series, you will engage with work from the previous two courses to deliver a cumulative experience that will transform your future engagement with AI tools.

This is the third course in “AI for Creative Work,” a series exploring how artificial intelligence can enhance the work of creatives.

AI for Creative Work

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