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Article highlights challenges with AI and robotics in laboratory automation, indicating ethical and collaborative needs.
Science laboratory automation enables accelerated discovery in life sciences and materials. However, it requires interdisciplinary collaboration to address challenges such as robust and flexible autonomy, reproducibility, throughput, standardization, the role of human scientists, and ethics. This article highlights these issues, reflecting perspectives from leading experts in laboratory automation across different disciplines of the natural sciences.
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Cooper et al. (2025) studied this question.
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