Human vs Generative AI in Content Creation Competition: Symbiosis or Conflict?

Aug 1, 2024·
Fan Yao
Fan Yao
,
Chuanhao Li
,
Denis Nekipelov
,
Hongning Wang
,
Haifeng Xu
· 0 min read
Abstract
The advent of generative AI (GenAI) technology produces transformative impact on the content creation landscape, offering alternative approaches to produce diverse, high-quality content across media, thereby reshaping online ecosystems but also raising concerns about market over-saturation and the potential marginalization of human creativity. Our work introduces a competition model generalized from the Tullock contest to analyze the tension between human creators and GenAI. Our theory and simulations suggest that despite challenges, a stable equilibrium between human and AI-generated content is possible. Our work contributes to understanding the competitive dynamics in the content creation industry, offering insights into the future interplay between human creativity and technological advancements in GenAI.
Type
Publication
ICML, 2024
publications
Content Ecosystem, Strategic Modeling, Human-AI Interaction
Fan Yao
Authors
Fan Yao
Assistant Professor

I am an assistant professor in the Department of Statistics and Operations Research (STOR) at UNC Chapel Hill. I received my PhD in Computer Science from the University of Virginia, advised by Haifeng Xu and Hongning Wang. Prior to obtaining my PhD, I spent two years at the University of Chicago and received both my BS and MS in Computational Mathematics from Peking University. My CV is available here.

My research interests include social and ethical aspects of AI, human-centered machine learning, strategic and multi-agent systems, recommender systems and digital platform economy. If you share similar interests, feel free to contact me via email. Prospective students are encouraged to review this before contacting me.

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Current status: ☕️ In Chapel Hill (☕️regular ✈️traveling 🏖vacation ⏳deadline mode)