Maximizing Creative Outcomes in Human-AI Collaboration: Evidence and Strategies
This article examines the evolving dynamics between artificial intelligence and human creativity in organizational settings. Drawing on recent empirical research, particularly meta-analyses of generative AI models like GPT-3.5 and GPT-4, the evidence reveals a nuanced relationship where AI demonstrates moderate advantages over humans in certain creative domains while also introducing potential constraints. Organizations face both opportunities and challenges: AI can enhance ideation quantity, but may reduce diversity of ideas without proper intervention. The research highlights promising pathways for effective human-AI creative collaboration, including optimized prompting techniques, complementary team structures, and strategic implementation frameworks. As generative AI becomes increasingly integrated into creative workflows, organizations that understand these dynamics and implement evidence-based practices for human-AI collaboration will gain significant competitive advantages in innovation processes.
Authors
- Jonathan Westover (ORCID: https://orcid.org/0000-0003-0919-3286)
Publication Details
- Journal
- Human capital leadership.
- Published
- 2025-10-01
- DOI
- https://doi.org/10.70175/hclreview.2020.26.2.5
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00