AI and Creative Arts Module

Example Module

Daniel Bakan, EDCP 305

Context

EDCP 305  is an introductory course on Digital Media in Arts Education. The course engages with curriculum and pedagogy from an arts-based, technological perspective, and provides opportunities to explore creative application software and build foundational critical digital media thinking and skills. This particular module, Artificial Intelligence (AI) and Creative Arts, was designed to introduce basic concepts of artificial intelligence and its relevance to digital art.

In Preparation for Class, Please:

Bring/Read/Do

Guiding Questions or Provocations

  • Understand the basic concepts of artificial intelligence and its relevance to digital art.
  • Identify and use AI tools and models for art creation, manipulation, and analysis.
  • Analyze the ethical implications of AI in the art world.
  • Apply AI techniques to their own digital art projects.
  • Engage in critical discussions about the impact of AI on art and education.
  • Evaluate the safety and privacy concerns associated with use of AI.

Required Learning Material

What To Do After Class

  • Asynchronous (to be completed by next session)
  • Create an AI project and post a link to it on our weekly discussion board
  • View and comment on at least TWO AI Projects from your classmates
  • Catch up on any outstanding work (Audio projects, Video Projects, Comments on discussions, etc.)

Weekly Activities and Instructions

Click on the tabs below to review the weekly activities and instructions.

Provocation

Inspiration
AI Software:

  • DeepArt.io: applies artistic styles to your photos using neural style transfer.
  • DeepDream: uses neural networks to create dream-like and psychedelic interpretations of existing images. Developed by Google
  • Artbreeder: create art by blending and evolving images using GANs. It’s a user-friendly way to generate unique visual art
  • AIVA: composes original music in different styles and moods.
  • Magenta Studio by Google:  A toolkit for creating music and art using machine learning.
  • GPT-3 (Generative Pre-trained Transformer 3):  Can generate creative and coherent text, including poetry and stories.
  • Recurrent Neural Networks (RNNs) generate text-based art, such as poetry, stories, or even code.
  • Botnik Studios:  An AI-powered platform that collaborates with humans to create amusing and artistic text.
  • DALL-E generates images from textual descriptions + generates 3D scenes.
  • CLIP (Contrastive Language-Image Pre-training):  Can understand text and images, making it useful for generating images from text prompts.

Exploration

  • Option A:Use AI to create a visual or audio rendering (static or dynamic, song, poem, 2D image, short story).
  • Option B: If you choose not to use AI, write a paper (250- 500 words) on how AI influences creative arts in the present and/or future OR create a visual (song, poem, 2D image, video) about the challenges and opportunities of integrating AI in creative arts.

Integration

  • Post your link to your AI  “digital rendering” to the discussion board.
  • Write two comments on two other peoples post (as assigned).

 

 

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