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Creative Artifacts is about expanding the definition of creativity, from multidisciplinary perspectives such as computer science, psychology and artistic practices, into domains like personal artistic practices, corporate innovations, and urban policies. You will 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. Then, you will actively engage and collaborate with others in the class through discussion prompts and have an opportunity to reflectively write about a creative project that inspires you. Throughout this course, you will manage your own design research project on the topic of your choice, through multiple iterations that can translate to actionable insights and business strategies.
Overview
Syllabus
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- Creative by Design
- In this module, you will learn what to expect throughout this course, explore the potential of applying A.I. into personal creative practice, and start a multilevel design research project.
- Creative Self
- In this module, you will identify your creative flow, examine artistic practices and A.I.-enhanced creative tools for personal creative exploration, and explore design research.
- Creative Organizations
- In this module, you will examine innovation strategies, generate deep insights, and apply your learning to your design research project.
- Creative Economy
- In this module, you will analyze different aspects of a creative economy, including the roles and potential of a creative intervention.
- Autonomous Creativity
- In this module, you will evaluate the risks and implications of A.I. application in creative industries, practice from automation and biases, and explore discovery and reflection as a mindset within the design research practice.
