Article

Open Access

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Peer-reviewed

Human-AI Collaboration in Creative Design: Evaluating Cognitive Synergy

Ar. Syed Ali Fathima R , Ar. Asia Beevi. A

DIP: 18.02.014/20251003

DOI: 10.25215/2455/1003014

Received: June 02, 2025; Revision Received: July 05, 2025; Accepted: July 06, 2025

Abstract

The integration of Artificial Intelligence (AI) into creative design processes has reshaped traditional workflows, enabling novel forms of human-AI collaboration that blend computational efficiency with human intuition and aesthetic judgment. This paper explores the concept of cognitive synergy between humans and AI in creative domains such as graphic design, product innovation, and architecture. Drawing upon interdisciplinary frameworks from cognitive science, design theory, and human-computer interaction, the study evaluates how AI augments human creativity and decision-making while examining the limitations of current AI systems in replicating or enhancing emotional and contextual understanding. Through a combination of case studies and experimental insights, the research identifies key factors that influence effective collaboration—such as trust, transparency, adaptability, and mutual learning. The findings suggest that optimal cognitive synergy arises not from replacing human input but from designing co-creative environments where AI acts as a dynamic partner. This has significant implications for the future of creative industries, education, and human-centered AI development.

The author(s) appreciates all those who participated in the study and helped to facilitate the research process.

The author(s) declared no conflict of interest.

This is an Open Access Research distributed under the terms of the Creative Commons Attribution License (www.creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any Medium, provided the original work is properly cited.

Responding Author Information

Syed A F & Asia B A @ sruthi@paradoxpublications.com

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Article Overview

ISSN 2455-670X

DIP: 18.02.014/20251003

DOI: 10.25215/2455/1003014

Published in

Volume 10, Issue 3, July – September, 2025

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