Leveraging AI to Unleash Creativity and Innovation in

IJDAS I ISSN: 2583-6242

Author(s):  Indresh Kumar Verma

Abstract: Artificial Intelligence (AI) is poised to revolutionize design education and research, opening up exciting possibilities for enhanced creativity and innovation. AI integration offers personalized learning experiences, virtual reality environments, intelligent design assistance, automated assessment, and data-driven insights. Adaptive learning systems, immersive VR/AR environments, and AI-powered design assistants can benefit us. AI enables deeper insights through data analysis and generative design techniques in design research. AI also enhances the user experience and automates repetitive tasks. The right balance between core design skills and AI will shape a future of socially impacting solutions and thriving creativity. There is an immense possibility for mentors, students, and institutions to integrate AI in design education/ teaching.  In design education, AI technology could be advantageous during the ideation process. Several design ideas can be generated based on set criteria and parameters by leveraging the power of AI algorithms. Moreover, in this digital era, AI has the potential to bridge the gap between design and technology. Incorporating AI tools and software in the curriculum of design institutes and schools could provide the necessary skills to excel in user experience (UX) design. A few AI tools prominently used in design education include Adobe Sensei, Figma, and Sketch. However, it is essential to remember that while AI can enhance the learning process, it cannot replace the core foundations of design education. Our creativity, critical thinking, and problem-solving skills remain paramount. Therefore, institutions must balance leveraging AI as a valuable tool and nurturing our innate abilities to think outside the box.

Practical Implications: The application of AI base technologies in the design research provides invaluable opportunities for gaining deeper understanding about user preferences and behaviour. A vast amount of user data can be analysed by leveraging AI driven predictive models and analytics, helping designers in making informed decisions on real-time feedback. Designers can create more user-centeric designs which resonates with their target users by understanding behavioural patterns and preferences of the users.

Keywords: AI; Creativity; Design

PDF Download I DOI: https://doi.org/10.5281/zenodo.10447507