1. Human-AI Ideation : Enhancing Collaborative Innovation with Large Language Models
- Author
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Müller, Alexander and Müller, Alexander
- Abstract
Exploring the intersection of human and artificial intelligence (AI) in the realm of innovation, this research delves into how collaborations between humans and large language models like GPT-4 can enhance ideation processes within crowdsourcing contests. Utilizing a comparative experimental design, this study assessed the quality of 128 ideas generated across various configurations: AI-only, human-only, and hybrid teams combining human creativity with AI computational power. The results indicate that hybrid human-AI teams not only foster a richer ideation environment but also produce significantly higher quality solutions than those generated by AI alone. This highlights the transformative potential of hybrid intelligence models in leveraging the distinct strengths of both entities to push the boundaries of traditional and digital innovation practices., Masterarbeit Universität Innsbruck 2024
- Published
- 2024