Human-AI Co-Creation Approach to Find Forever Chemicals Replacements (2304.05389v1)
Abstract: Generative models are a powerful tool in AI for material discovery. We are designing a software framework that supports a human-AI co-creation process to accelerate finding replacements for the forever chemicals''-- chemicals that enable our modern lives, but are harmful to the environment and the human health. Our approach combines AI capabilities with the domain-specific tacit knowledge of subject matter experts to accelerate the material discovery. Our co-creation process starts with the interaction between the subject matter experts and a generative model that can generate new molecule designs. In this position paper, we discuss our hypothesis that these subject matter experts can benefit from a more iterative interaction with the generative model, asking for smaller samples and
guiding'' the exploration of the discovery space with their knowledge.
- Juliana Jansen Ferreira (7 papers)
- Vinícius Segura (6 papers)
- Joana G. R. Souza (1 paper)
- Gabriel D. J. Barbosa (1 paper)
- João Gallas (1 paper)
- Renato Cerqueira (16 papers)
- Dmitry Zubarev (12 papers)