Presentation Schedule
Apocryphal Assumptions About Artistry and Artificial Intelligence: A Case Analysis of Anderson v. Stability AI Ltd. (104573)
Session Chair: Chizuru Saeki
This presentation will be live-streamed via Zoom (Online Access)
Wednesday, 13 May 2026 15:10
Session: Session 3
Room: Live-Stream Room 5
Presentation Type: Live-Stream Presentation
– click here to convert to your timezone
This study explores the nature and function of human artistry versus artificial intelligence via an analysis of court documents in Andersen v. Stability AI Ltd., 3:23-cv-00201. Filed in the Northern District of California on January 13, 2023, this class-action lawsuit was brought by visual artists including Sarah Andersen, Kelly McKernan, and Karla Ortiz against Stability AI Ltd., Runway AI, Midjourney, and DeviantArt. Plaintiffs allege their copyrighted artworks were scraped from the internet without permission and used to train AI models to create arts. Our goal is to decipher the hidden, tacit, apocryphal assumptions about art and artificial intelligence through the framework of the Johari Window of four quadrants (Open, Blind, Hidden, Unknown). By comparing and contrasting the quadrants revealed within Plaintiff versus Respondent discourse, we will answer two research questions:
RQ1: What are the apocryphal arguments that shape our understanding of human-derived artistry versus artificially-derived artistry?
RQ2: How does identification of these apocryphal elements illuminate the nature, function and potential of human-derived AND artificially-derived creativity?
Our contribution will assist advocates on both sides of the issue to understand, and hence better respond to, counterclaims.
Authors:
Lin Allen, University of Northern Colorado, United States
Shea-Tinn Yeh, University of Northern Colorado, United States
About the Presenter(s)
Professor Lin Allen is a University Professor/Principal Lecturer at University of Northern Colorado in United States
See this presentation on the full schedule – Wednesday Schedule
Conference Comments & Feedback
Place a comment using your LinkedIn profileShare this Presentation
Comments
Powered by WP LinkPress