Artificial Intelligence–Mediated Creativity in Collaborative Design Teams

Isabella M. Carter

Artificial Intelligence–Mediated Creativity in Collaborative Design Teams

Author(s)	Dr. Isabella M. Carter
Country	United States
Abstract	Generative artificial intelligence is altering collaborative design by introducing computational agents directly into ideation, visualization, critique, iteration, and concept-development activities that were previously distributed primarily among human team members. AI-mediated design collaboration can accelerate the generation of alternatives, provide rapid visual or textual stimuli, reduce repetitive production work, and help less experienced designers engage more productively in early-stage ideation. The same capabilities can create creative convergence, automation bias, weakened psychological ownership, premature fixation on polished AI outputs, and reduced participation when AI becomes the dominant source of ideas. Recent experimental evidence shows that human–AI co-creative design processes can improve novelty, refinement, quality, and idea generation, while research on generative creativity also warns that gains in individual output quality may coincide with reduced collective diversity. This study develops a team-centered framework for artificial intelligence–mediated creativity in collaborative design. Four hypothetical collaboration conditions were modeled: human-only collaboration, AI-first production, human-led AI divergence, and structured team–AI co-creation. A synthetic sample of 96 design teams, comprising 24 teams per condition, was generated. Evaluation considered expert-rated creative quality, idea diversity, iteration efficiency, perceived team agency, and creative-fixation risk. The simulated results show that AI-first production improved speed but produced comparatively weak idea diversity and team agency. Human-led AI divergence achieved stronger creativity while maintaining meaningful designer participation. The structured team–AI co-creation condition generated the highest mean creative-quality score at 87.0, the strongest idea-diversity score at 85.4, and the highest team-agency score at 89.1. A box-plot analysis further showed a more consistently high creative-quality distribution under structured team–AI collaboration. These values are illustrative rather than empirical.
Keywords	artificial intelligence, collaborative design, human–AI co-creation, generative AI, team creativity, design ideation, creative collaboration, AI-mediated creativity, co-design, human-centered AI
Field	Engineering
Published In	Volume 3, Issue 2, March-April 2022
Published On	2022-04-19

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American Journal of Advanced Multidisciplinary Innovation and Research

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Artificial Intelligence–Mediated Creativity in Collaborative Design Teams

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