Generative AI Art Ownership: Artist vs Machine - Ethical Dilemmas

The presentation, explores the ethical quandaries surrounding generative AI and intellectual property. Generative AI's rapid integration into business has not only revolutionised content creation but has also ignited significant intellectual property concerns. As the technology scrapes and utilises vast data from various sources without explicit consent, it challenges traditional notions of authorship and copyright, highlighted by high-profile legal cases such as Andersen v. Stability AI and Getty vs. Stable Diffusion.

These legal battles may pivot around the fair use doctrine, questioning whether AI-generated outputs utilizing copyrighted materials without permission constitute a fair use. The presentation also delves into philosophical approaches such as deontology and consequentialism to frame these ethical issues, suggesting that while AI can significantly enhance creative processes, it raises critical questions about the originality and ethics of automated content generation.

Through this analytical lens, the discussion underscores a pressing need for a robust legal framework that reconciles the innovative capabilities of AI with the rights of original creators, emphasizing the technology's profound implications on creative industries .

Prepared by: Marlon Holloway & Thomas Currie (July 2023)