Artificial Intelligence is changing our relation to creativity and taking it to a different level.
Systems using the GPT-3 models are generating 4.5 billion words of text every day today; already in 2019, a painting created using the StyleGAN model was sold for 432.000 dollars; several recent albums contain melodies and sounds created using machine learning methods and with the introduction of the Stable Diffusion model, photo-realistic images can be created from any textual prompt.
In this course, we will understand what artificial intelligence can and cannot do in terms of creativity. We will take a quick look into the basic theory and history behind machine learning methods. Then we will look at online platforms that provide access to generative artificial intelligence tools and experiment with them. We will look into the work of artists using all sorts of machine-assisted techniques. Finally, we will create a final project that might be a finished piece or a prototype for a new tool.
