Human-AI Co-Creation Approach to Find Forever Chemicals Replacements
April 11, 2023 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Juliana Jansen Ferreira, VinΓcius Segura, Joana G. R. Souza, Gabriel D. J. Barbosa, JoΓ£o Gallas, Renato Cerqueira, Dmitry Zubarev
arXiv ID
2304.05389
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.HC
Citations
1
Venue
arXiv.org
Last Checked
4 months ago
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.
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