Artificial Intelligence and Design: Innovation, Practical Applications, and Future Creative Horizons
Abstract
Artificial Intelligence (AI) is reshaping the design landscape, from product development to graphics, service and critical-speculative design. This paper explores how AI enhances efficiency and expands creative possibilities, offering insights into its applications, challenges, and opportunities. While AI excels in automating complex tasks, the designer’s role is evolving towards "sense making"—the ability to infuse meaning and context into AI-generated outputs. In product design, AI-driven technologies such as generative design and machine learning enable optimised and personalised solutions, positioning designers as mediators between algorithmic precision and human needs.In graphic design, AI democratizes access to advanced tools, raising ethical concerns about skill displacement. In service design, AI improves user experiences through personalisation, though issues of transparency and fairness must be addressed. In speculative design, AI has become a fundamental support for processes of futures imagining and envisioning. Additionally, the paper highlights the transformative role of AI in education, requiring students, researchers, and professionals to adapt to the evolving technological landscape.Finally, the paper discusses the ethical challenges of AI, such as bias and automation’s societal impact, presenting AI not as a replacement for designers, but as a tool that enhances creativity, fostering a collaborative future where human ingenuity and technology harmoniously coexist.
Keywords: AI, Design, Generative AI, Innovation, Smart Manufacturing
DOI: 10.54941/ahfe1005566
Cite this paper
More from this volume
- Implementing an AI Fatigue Risk Management System for Aviation Maintenance SMS: A Technology Enhanced Critical Process Human Factors Safety Plan
- Deep Learning Forecast of Perceptual Load Using fNIRS Data
- Artificial intelligence in the function of improving port systems
- Formalizing Trust in Artificial Intelligence for Built Environment Decision-Making
- Supporting Informal Sustainability Learning with AI-assisted Educational Technology
- An assessment of the maintenance of heritage buildings using AI and IoT: a South African perspective
- What if we Could Entangle Drones? Towards the Management of a Swarm of Drones as a Non-Local Quantum Object
- Engaging All Elderly Residents in Community Renewal: Designer Spotlight Interview Tool for LLM Building
- AI Play in Higher Education: Students’ perceptions of play and co-creation of knowledge with generative AI
- Optimizing AI Involvement in Engineering University Courses Based on Students' Personality
- Predictive Model for Partner Agencies Dependency on Food Banks
- Investigating common factors needed for consumers to trust AI\ML


AHFE Open Access