Neurodata Without Boredom: Benchmarking Agentic AI for Data Reuse
Researchers tested AI agents to automate reusing complex neuroscience data across different formats for a common task: training a neural decoder. They found that agents perform well on individual steps but fail at end-to-end accuracy, often making subtle scientific interpretation errors. The study recommends better data sharing practices and human oversight for reliable agent assistance.