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.

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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
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article

Maximizing Creative Outcomes in Human-AI Collaboration: Evidence and Strategies

Jonathan Westover
Human capital leadership.
Ethics and Social Impacts of AI
article

Maximizing Creative Outcomes in Human-AI Collaboration: Evidence and Strategies

Jonathan Westover
article en

Abstract

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.

Human capital leadership.Vol. 26(2)
Openalex Percentile: Top 72%
Ethics and Social Impacts of AI
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Maximizing Creative Outcomes in Human-AI Collaboration: Evidence and Strategies — Jonathan Westover · Human capital leadership. (2025) | TGRS Research Map | TGRS