Human-AI Co-Creation Approach to Find Forever Chemicals Replacements
This addresses the need for safer chemical alternatives to benefit environmental and human health, but it is incremental as it builds on existing generative model approaches.
The paper tackles the problem of discovering replacements for harmful 'forever chemicals' by proposing a human-AI co-creation framework that combines generative models with expert knowledge to accelerate material discovery, though no concrete results or numbers are provided as it is a position paper.
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.