A recent study published in the journal Science Advances highlights the dual-edged nature of generative artificial intelligence (AI) in creative industries like film, literature, and music. While AI can simplify the creative process, an over-reliance on it could lead to uniformity in creative works, resulting in a lack of originality.
To investigate the impact of generative AI on short story writing, researchers from University College London recruited nearly 300 volunteers who are not professional writers. The study assessed their innate creativity before randomly assigning them to three groups. Each group was tasked with crafting an eight-sentence story based on one of the three randomly selected themes: ocean adventure, jungle expedition, or alien encounter. The level of AI assistance varied among the groups: the first group had no AI support, while the other two groups could choose to use AI to generate an initial three-sentence idea. Within these two AI-assisted groups, one group had the option to receive up to five AI-generated ideas.
After completing their stories, the volunteers self-evaluated their work based on originality and emotional attributes. Additionally, 600 external reviewers assessed the stories using the same criteria. The findings revealed that AI assistance significantly enhanced the creativity and engagement of the stories, particularly among volunteers who initially demonstrated low creative potential. For instance, those with limited creativity improved their story's originality by 10.7% and its overall appeal by 22% when using five AI-generated ideas.
However, the study also noted a concerning trend: stories produced with AI assistance tended to be more similar to each other compared to those written without any AI aid. Researchers referred to this phenomenon as a "social dilemma," emphasizing that while generative AI makes writing more accessible—a positive development—it could inadvertently stifle overall artistic innovation.
This research encourages a thoughtful approach to integrating AI into creative processes, suggesting that individuals should leverage AI to maximize benefits while maintaining their unique creative insights.