Shadow AI in labs: Why 77% use public generative AI tools at the bench
This post is part of the AI lab notebook (AILN) series. In this blog, we define shadow AI in labs and explain why public generative AI tools have become a default workaround at the bench.
You can also read about experiment reuse and ELN data findability, including why labs repeat experiments when prior work is hard to reuse and the lab AI maturity model, a roadmap from passive to active labs.
Get the full research report here.
Shadow AI in labs refers to scientists using public generative AI tools outside governed workflows, often through unmanaged accounts, to get work done faster. An AI lab notebook (AILN) is a third-generation ELN that brings science-aware assistance into governed workflows so reasoning can stay with the experimental record.
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