These readings, short videos, reflective questions and activities are designed to encourage discussion around common concerns and issues with genAI in the arts. In my courses, I typically ask students to choose one reading and one video.
White Default: Examining Racialized Biases Behind AI-Generated Images
Explores the race-based biases evident in AI image generation, and the questions those biases present art educators.
AI Art Shows the Value of Disability Aesthetics
A blog post by a writer/critic looking at the "flaws" in AI art, and common reactions against them, in the context of common reactions to disabled bodies and artwork by disabled artists.
How Corporations Hijacked Anti-AI Backlash
[watch from 1:09:40-1:24:35] A cultural critic who is skeptical of the AI industry looks at common artistic arguments against AI art, and critiques those arguments from an art history perspective.
Is AI-Generated Art Original? (Authenticity & Originality)
A video from the popular PBS "Crash Course" series where art historian Sarah Urist Green talks about generative AI in the context of art historical debates about authenticity and originality.
What would good AI art look like?
A writer and philosopher talks about the question of whether or not AI Art is or is not art, then goes on to explore what AI art might need to do to be considered 'good art.'
Write a short (~250-350 word) response below. Do not summarize the readings. Instead respond to these prompts:
After watching at least one video and reading at least one reading above, please use the prompts and slide resource below to discuss, collaborate, and share back on some common arguments about genAI in the arts, and analogies they may have to arguments about other controversial art practices:
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