AI in Chromatography Workflows: Why Human Expertise Remains Critical

What role will human expertise have when artificial intelligence (AI) becomes more deeply embedded in chromatography workflows? Dave Abramowitz, product lead for all mass spectrometry products at Thermo Fisher Scientific, shares his thoughts with LCGC International.

Abramowitz: I see human experts still as an integral part of the workflows. I’d say in two aspects here, they’re really going to be critical: reasoning and data labeling, both for routine and for research. AI will be required to be built in a way that humans will be able to follow and verify its reasoning. However laborious that process might be, on the data labeling side it’s not the AI algorithm that becomes the critical piece, but the quality and history of the data feeding it. I think humans will continue to play a critical role in that collection, curation, and labeling of the high-quality data that needs to be fed to the AI models.