Webinar 7: Sustainable Design with GenAI From Concept to Circular Innovation
Generative AI is reshaping the landscape of product development, offering unprecedented capabilities to explore, evaluate, and optimize designs under complex sustainability constraints. In this talk, we delve into how generative models—such as diffusion models, VAEs, and GANs—can be leveraged to accelerate sustainable product design across multiple dimensions, including material efficiency, recyclability, modularity, and lifecycle impact. We’re presentingstrategies to integrate environmental data and circularity metrics into the generation process, enabling AI to not only create novel design alternatives, but also to assess them in terms of ecological and functional performance. Case studies from materials engineering, remanufacturing, and additive manufacturing illustrate how generative AI can support early-stage decision-making, reduce iteration time, and promote circular design principles. The talk aims to provide both conceptual insight and practical frameworks for deploying generative AI as a catalyst for sustainable innovation.
