Exploring OpenAI's Game Theory Model for Fair Author Compensation: The Self-Publishing News Podcast with Dan Holloway

In this episode of the Self-Publishing News Podcast, Dan Holloway discusses a new proposal from OpenAI that introduces cooperative game theory to determine compensation for authors whose works help train AI. This innovative approach aims to calculate the specific contributions of individual creators to AI outputs and allocate earnings accordingly, similar to determining the mix of colors in a paint blend. Dan examines the potential of this system to fairly reward creators and its computational feasibility in revolutionizing how authors are compensated for their contributions to AI. Find more author advice, tips, and tools at our Self-publishing Author Advice Center, with a huge archive of nearly 2,000 blog posts and a handy search box to find key info on the topic you need. And, if you haven’t already, we invite you to join our organization and become a self-publishing ally. About the Host Dan Holloway is a novelist, poet, and spoken word artist. He is the MC of the performance arts show The New Libertines, He competed at the National Poetry Slam final at the Royal Albert Hall. His latest collection, The Transparency of Sutures, is available on Kindle.