How Generative AI Can Augment Human Creativity
Open accessAbstract
The advent of generative AI has sparked apprehension regarding its capacity to replace human workers in many jobs. However, the most significant opportunity for this technology lies in its potential to assist businesses and governments in addressing the challenges associated with democratizing innovation by augmenting human creativity. These challenges include the influx of ideas, the inability of domain experts to embrace novel concepts, the difficulty in refining vague ideas into actionable plans, and the struggle to integrate diverse customer requirements into viable solutions. Generative AI can transform this landscape by fostering divergent thinking, challenging existing biases, aiding in the evaluation of ideas, enhancing the refinement of concepts, and promoting collaborative innovation among employees and customers. Its effectiveness lies not in replacing human ingenuity but in being a powerful collaborator, augmenting collective human creativity.
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Self-directed engagement with GenAI has potential benefits, such as expanding access to new forms of expression and augmenting creativity.
“While such self-directed engagement has potential benefits, as suggested by recent articles, such as expanding access to new forms of expression and augmenting creativity [16,18]”
From Child-AI Co-Creation: A Review of the Current Research Landscape and a Proposal for Six Design Considerations (2025) · cites this paper as [18]
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- Authors
- Eapen, T. T., Finkenstadt, D. J., Folk, J., & Venkataswamy, L.
- Affiliations
- Conference Board (US)
- Corresponding author
- Eapen, T. T.
- Venue
- SSRN Electronic Journal
- Publisher
- Elsevier BV
- Published
- 2024
- ISSN
- 1556-5068 (ISSN-L)
- OpenAlex
- W4394863715
- Cited by
- 148
- References
- 0
- Citations by year
- 2026: 20 · 2025: 73 · 2024: 43 · 2023: 12
- Type
- posted content
- Language
- en
- Open access
- green
- doi.org
- Locations
- SSRN Electronic Journal (acceptedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Creativity in Education and Neuroscience
- Physical Sciences › Engineering › Mechanical Engineering › Design Education and Practice
- Keywords
- generative AI, human creativity, divergent thinking, idea evaluation, collaborative innovation, customer co-creation, idea refinement, job displacement
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