Generative AI aiding in Product Development

GenAID aims at providing mechanical engineering students with knowledge, abilities and skills for the proficient use of Generative AI tools, to formulate adequate prompts, evaluate the results of ...

GenAID aims at providing mechanical engineering students with knowledge, abilities and skills for the proficient use of Generative AI tools, to formulate adequate prompts, evaluate the results of the interactions with AI and foster its ethical adoption in educational and professional contexts. At the same time the project will provide educators with methods, tools and educational materials to replicate the activities in other disciplines through project-based and learning-by-doing approaches.

Over 3 years, GenAID will train 150 students from 5 leading European HEIs and equip them with skills to tackle real-world product development challenges through industry-driven projects and hands-on workshops. Project results and related materials will be showcased at exhibitions and collected in an open-access website populated with educational resources and ethical AI adoption strategies, to enable educators to benefit from a structured methodology to integrate GenAI into higher education.

Year1: GenAID test and select Generative AI tools for NPD to collect in a knowledge base (PR1) and map the most suitable ones to specific NPD stages (PR2). Year2: the findings evolve into an educational methodology for HEI curricula integration (PR3) and specific prompt engineering guidelines that engineering design students can leverage for input refinement (PR4). Year3: finetuning via a framework for AI ethical use (PR5) and refined educational materials (PR6) for cross discipline adoption.