Creativity, Generative AI, and Software Development: A Research Agenda
Victoria Jackson, Bogdan Vasilescu, Daniel Russo, Paul Ralph, Maliheh, Izadi, Rafael Prikladnicki, Sarah D'Angelo, Sarah Inman, Anielle Lisboa,, Andre van der Hoek

TL;DR
This paper explores how generative AI could impact creativity in software development, proposing a research agenda to understand its effects on individual, team, and societal levels.
Contribution
It introduces a novel research agenda using McLuhan's tetrad to analyze potential impacts of GenAI on creativity in software engineering.
Findings
GenAI may enhance or hinder creativity depending on usage.
Multiple factors influence how GenAI affects developer creativity.
A comprehensive future research agenda is proposed.
Abstract
Creativity has always been considered a major differentiator to separate the good from the great, and we believe the importance of creativity for software development will only increase as GenAI becomes embedded in developer tool-chains and working practices. This paper uses the McLuhan tetrad alongside scenarios of how GenAI may disrupt software development more broadly, to identify potential impacts GenAI may have on creativity within software development. The impacts are discussed along with a future research agenda comprising six connected themes that consider how individual capabilities, team capabilities, the product, unintended consequences, society, and human aspects can be affected.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsBig Data and Business Intelligence
