The Dynamics of Collective Creativity in Human-AI Hybrid Societies

TL;DR

This study explores how human-AI interactions influence collective creativity in social networks, revealing that hybrid networks evolve to be more diverse over time compared to AI-only groups.

Contribution

It provides empirical insights into the dynamics of human-AI collaboration in creative social networks, highlighting the evolution of diversity and influence over time.

Findings

AI-only networks initially more creative

Hybrid networks become more diverse over time

Humans maintain story continuity better

Abstract

Generative AI is shaping an increasingly hybrid society, where ideas and cultural artefacs are created both by humans and intelligent machines. Human creativity is influenced in complex, nonlinear ways by the actions of AI-driven agents within their social networks, but these influences are difficult to measure using traditional methods. This study examines how human-AI interactions shape the evolution of collective creation within large-scale social network experiments, where human and AI participants collectively create stories. Participants (either humans or AI) joined 5x5 grid-based networks in which stories were selected, modified, and shared over many iterations. Initially, AI-only networks showed greater creativity (rated by a separate group of human raters) and collective diversity of stories than human-only and human-AI networks. However, over time, hybrid human-AI networks became more diverse in their creations than AI-only networks. In part, this is because AI agents retained little from the original stories, while human-only networks preserved continuity. These findings highlight the value of experimental social networks in understanding human-AI hybrid societies.