Where AI can aid chemistry research and where reliability falls short

Researchers from the Skoltech AI Center and partner institutions have reviewed where artificial intelligence can help chemical research and where its reliability remains limited. Their paper in Chemical Society Reviews examines how to assess AI tools across research workflows, warning that strong benchmark results do not necessarily translate into dependable laboratory performance. The work considers the varied data used in chemistry, including publications, images, spectra and reaction records.