The complexity and 'black box' nature of sophisticated machine learning models mean their outputs can't always be explained by the researchers using them.
Challenges identified include reproducibility issues, limited collaboration between AI and non-AI disciplines, and high energy consumption for large compute infrastructure in AI research.
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