IMAGE-BASED AI TOOLS FOR DESIGN ENGINEERING: A WORKSHOP STUDY ON STUDENT PERCEPTIONS OF ETHICS AND USEFULNESS

Paper in proceeding, 2024

AI tools have become increasingly popular and accessible in various domains, including
industrial design engineering. However, there is a lack of empirical studies on how these tools
affect the design process and outcomes, as well as the ethical implications of their use. In this
paper, we present a research study that aims to explore how students at bachelor level in
Industrial Design Engineering, particularly those without prior knowledge, perceive the
usefulness of text-to-image generative tools. We also examine their main ethical
considerations regarding the use of these types of tools, as well as AI tools in general.

Our findings indicate a cautious but curious attitude towards AI technologies, underscoring the
need for a nuanced approach in their integration into educational curricula. The apprehension
towards adopting these tools reflects a broader concern about ethical implications,
technological dependence, and the potential overshadowing of human creativity. However, the
study also reveals an eagerness to understand and utilize these technologies, suggesting a
latent potential for enhancing creative processes in design engineering. As our study shows,
students are keenly aware of the challenges and opportunities presented by AI, highlighting
the importance of clear guidelines and ethical frameworks.

In conclusion, the integration of AI tools like text-to-image generative models in design
engineering education presents both challenges and opportunities. The key to successfully
navigating this integration lies in a balanced approach that emphasizes ethical usage, critical
understanding, and creative collaboration. Through such an approach, we can prepare the
next generation of designers to effectively and responsibly harness the potential of AI in their
work, ensuring that human creativity remains at the forefront of design innovation.