P1-16: ソーシャルネットワークにおける人間とAIの協働がもたらす集団的創造性
| 発表番号 | P1-16 |
| 発表タイトル | ソーシャルネットワークにおける人間とAIの協働がもたらす集団的創造性 |
| 筆者氏名・所属 |
Shota Shiiku （Shizuoka University, Max Planck Institute for Empirical Aesthetics） Raja Marjieh （Princeton University） Manuel Anglada-Tort （Goldsmiths College of London, Max Planck Institute for Empirical Aesthetics） Nori Jacoby （Cornell University, Max Planck Institute for Empirical Aesthetics） |
| アブストラクト | Generative AI is reshaping modern culture, enabling individuals to create high-quality outputs across domains such as images, text, and music. However, we know little about the impact of generative AI on collective creativity. This study investigates how human-AI interactions shape collective creativity within experimental social networks. We conducted large-scale online experiments with 973 participants and AI agents in a creative writing task. Participants (either humans or AI) joined 5×5 grid-based networks, and were asked to iteratively select, modify, and share stories. Initially, AI-only networks showed greater creativity (rated by a separate group of 100 human raters) and diversity 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. |
| 論文 | PDFファイル |
