AI in Lab Automation

Develop a framework for evaluating autonomous laboratory systems, including capabilities, risk controls, data integrity, and reproducibility. Compare approaches to oversight, human-in-the-loop decisions, and governance of experimental risk in biotech and chemistry contexts. Propose best practices for collaboration between researchers, engineers, and policy makers.