AI and the Creative Arts: Authorship, Authenticity, and Pay

Generative AI can accelerate creative workflows and lower barriers for new artists. It can also remix styles without consent, shift income away from creators, and blur what audiences mean by authentic or original work. Join us for a practical, welcoming discussion where we’ll explore:

• Authorship and originality: When humans and models co-create, what does authorship mean and what should be credited?
• Training data and consent: What is fair for models trained on public art, paid libraries, or scraped work, and what should be opt-in or opt-out?
• Compensation and markets: If AI tools substitute for human labor, what does fair payment look like for artists, performers, and freelancers?
• Disclosure and provenance: When should AI involvement be labeled, and what does “proof” of origin look like for audiences and clients?
• Culture and appropriation: How do we preserve cultural heritage and avoid extraction when models imitate marginalized or sacred styles?

Whether you’re an artist, designer, musician, writer, technologist, student, hobbyist, or simply curious, bring one example of AI art you admire and one concern you want to unpack with the group.