Released in June 2021, Creative Artifacts explores how different tools and structures can be used to increase creativity through a multidisciplinary lens. You will see how renowned artists use machine learning to expand their creative capacities, and you will gain experience collaborating with creative AI tools yourself. On a macro scale, you will examine the business strategies and economic policies that make organizations and regions more creative. As you progress, you will reflect on how these tools and structures can enhance your creativity and how they might impact the larger society. Throughout the course, you will manage your own design research project and gain new insights that can translate into actionable, innovative business initiatives.
Creative Artifacts
This course is part of Creativity and AI Specialization
Taught in English
Some content may not be translated
Instructor: Jeongki Lim
Included with
Course
(16 reviews)
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What you'll learn
Apply tools and structures that increase individual creativity.
Develop and implement a design research project for innovation development in the topic of your choice.
Communicate strategies and management practices that can make your organization more creative.
Skills you'll gain
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5 quizzes
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There are 5 modules in this course
In this module, you will learn what to expect throughout this course, explore the potential of applying AI to personal creative practice, and start a multilevel design research project.
What's included
9 videos6 readings1 quiz3 discussion prompts
In this module, you will identify your creative flow, examine artistic practices and AI-enhanced creative tools for personal creative exploration, and explore design research.
What's included
13 videos6 readings1 quiz4 discussion prompts
In this module, you will examine innovation strategies, generate deep insights, and apply your learning to your design research project.
What's included
13 videos6 readings1 quiz4 discussion prompts
In this module, you will analyze different aspects of a creative economy, including the roles and potential of a creative intervention.
What's included
13 videos6 readings1 quiz4 discussion prompts
In this module, you will evaluate the risks and implications of AI application in creative industries, practice from automation and biases, and explore discovery and reflection as a mindset within the design research practice.
What's included
13 videos6 readings1 quiz1 peer review4 discussion prompts
Instructor
Offered by
Recommended if you're interested in Design and Product
Parsons School of Design, The New School
Parsons School of Design, The New School
Google Cloud
University of Illinois at Urbana-Champaign
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Frequently asked questions
At least 2 years of experience in a technical field or creative industry is recommended, but not required.
This course is completely online. There is no need to attend any class in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
In this course, you'll look at renowned artists who use the latest machine learning techniques in a compelling way to expand their creative capacities. You’ll also examine different business strategies and economic policies that aim to make organizations and cities more creative as well as have an opportunity to reflectively write about a creative project that inspires you.