Creativity and Artificial Intelligence Course

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Artificial Intelligence is changing our relation to creativity and taking it to a different level.

ChatGPT and competing systems are generating 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 investigate 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.

Aimed at

Creative and knowledge workers, visual artists, and writers. Desirable kowledge: Basic internet navigation, text editing, image and video manipulation programs (Photoshop, Final Cut).

Imágenes made by Artificial Intelligence

  • Bringing AI concepts and resources closer to technology-shy creative practitioners
  • Introducing the basic theory of AI to non-technical people
  • Understanding the potential and limitations of Ai for creative uses
  • Understanding computational creativity, and can we use it for co-creation
  • Getting familiar with trending artists using AI, their work and methods
  • Demonstrating easy to use online AI tools for generate and manipulate text, images and video
  • Obtaining a critical perspective on ethical and societal issues around AI
  • Learning to run models locally and in virtual machines
  • Providing the fundamentals of AI-based projects
  • Developing a simple AI creative project or piece.

Structure and contents
  • Day 1: Sharing initial ideas and concepts. Introduction to machine learning and the history of generative AI. Experiments with text and image generation with commercial tools. Prompts.
  • Day 2: AI creators and their techniques. Creative uses of predictive AI. How to run models in local and virtual machines.
  • Day 3: Video. Advanced resources in Stable Diffusion models. Brainstorming and development of projects.
  • Day 4: Agents. Voice generation and recognition. Development of projects. Copyright and ethical issues around AI.
  • Day 5: Project presentation and collective critique.

Bruno Caldas Vianna

Bruno Caldas Vianna is a doctoral candidate at Uniarts Helsinki, researching artificial intelligence and fine arts, and a professor at the Image Processing and Multimedia Technology Center, at the Polytechnic University of Catalonia-Barcelona. He has a master’s degree in Interactive Telecommunications from New York University. He has long experience in developing technical projects as well as creative audiovisual works, such as interactive feature films. For 6 years he taught creative programming at Oi Kabum! Art and Technology school in Rio de Janeiro.