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... , offer exciting opportunities for advancing scientific discovery and innovation in materials science. Vast repositories of experimental data and sophisticated simulations are being utilized to predict material properties, design and test new compositions, and accelerate nearly every facet of traditional materials science.
From page 2...
... Participants explored how various models for sharing data and tools may intersect with the different motivations and funding structures in academic, industry, and government contexts. In addition, attendees discussed the complementary roles of human experts and machine-driven algorithms and how considerations around ethics, trust, and public perception may influence the relationship between humans and AI or other analytic systems as the field d ­ evelops.


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