Artificial Creativity (Coursera)

You will examine the potential of creative A.I. in everyday experience. You will implement various design research methodologies through observation, reflective writing and discussion prompts. Then, you will actively engage and collaborate with others in the class while challenging your own definitions of creativity by taking a closer look at the people and projects that have changed the paradigm of what machines can do. Throughout the course, you will step away from your computer and complete a project applying the techniques and theories you’ll have just learned.

Course 1 of 3 in the Creativity and A.I. Specialization.
What You Will Learn

- Explain the theories and techniques behind the latest works in artificial creativity.

- Characterize and implement various design research methodologies.

- Examine the potential of creative A.I. in everyday experience.

Syllabus

WEEK 1

Can Machines Be Creative?

In this module, you will learn what to expect throughout this course, explore machine creativity, and start your first design research observation.

WEEK 2

Poetical Science of A.I.

In this module, you will learn about the multidisciplinary beginnings of the course topics, identify the Turing Test, define intelligence, experiment with multiple GPT-2's and conduct design research analysis.

WEEK 3

How to Make Things Creative I

In this module, you will learn about what informed the symbolic approach to A.I., how the symbolic approach can be used for creative projects, how to conduct a model simulation, and how to conduct design research interview.

WEEK 4

How to Make Things Creative II

In this module, you will learn about the subsymbolic approach to A.I. through theories, how to use the subsymbolic approach in a creative project, how to conduct an A.I. based creative experiment, and how to conduct design research ideation.

WEEK 5

Would You Collaborate With a Machine?

In this module, you will learn about the emerging field of computational creativity through concepts, case studies, GAN-based experiments, and you will construct a conduct a LoFi prototype using design research methods.