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Generative Artificial Intelligence aiding in Product Development

Project Brief

  • Objectives: What do you want to achieve by implementing the project?

    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.

  • Implementation: What activities are you going to implement?

    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.

  • Results: What project results and other outcomes do you expect your project to have?

    Year 1: 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).

    Year 2: 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).

    Year 3: finetuning via a framework for AI ethical use (PR5) and refined educational materials (PR6) for cross discipline adoption.

Latest News

1206, 2026

GenAID 2026 – Final Event

Juni 12th, 2026|

GenAID 2026 - Final Event We are thrilled to celebrate the successful conclusion of our first joint project-based learning course of the GenAID project! The final event, held in collaboration with our industry partner Akrapovič, showcased the innovative power of combining student creativity with Generative AI. The Challenge Student teams were tasked with a real-world industrial problem: developing concepts to improve scrap material management. Their mission was to devise solutions for: Classification and separation of different scrap types Removal of contaminations from scrap material Efficient handling, storage, and volume reduction of scrap Integration of new solutions into existing production and logistics To tackle this complex challenge, students were [...]

1106, 2026

AI Readiness in Engineering: Insights from IRT Forum 2026

Juni 11th, 2026|

GenAID at IRT Forum 2026: AI Readiness in Engineering and Product Development Portorož, Slovenia | 9 June 2026 We spent two days at IRT Forum 2026 sharing how GenAID brings Generative AI into engineering education and product development, and gathering fresh insights from the field. This appearance was part of our ongoing dissemination and communication activities in WP2 . What We Showcased GenAI across the development cycle: ideation, concept design, prototyping, testing, and evaluation. Practical emphasis on prompt engineering, critical assessment of AI outputs, and human-centered decision-making . Conversation around responsible adoption in both education and industry. AI Readiness Snapshot We ran a short, voluntary survey at our [...]

2709, 2025

GenAID KickOff

September 27th, 2025|

GenAID Kick-Off 🚀 Kick-off of the GenAID Project – Generative AI aiding in Product Development We are excited to announce the official start of GEN AID, a three-year Erasmus+ project uniting partners from University of Ljubljana, Faculty Of Mechanical Engineering, Politecnico di Milano, Technische Universität Wien, Technische Universität Darmstadt and University of Zagreb / Sveučilište u Zagrebu (FSB ZAGREB). The project explores how Generative AI can support product development and reshape higher education. 🎯 Objectives GEN AID will equip engineering students with skills to use Generative AI effectively – from prompt creation to critical evaluation – while promoting its ethical adoption. Educators will gain tools and open resources [...]

Get to know the Consortium

TU Wien  (Coordinator)

Politecnico di Milano (Partner)

TU Darmstadt (Partner)

University of Ljubljana (Partner)

University of Zagreb (Partner)

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