A growing body of irreproducible studies are raising concerns regarding the robustness of AI-based discoveries.
Barriers such as insufficient documentation, limited access to essential infrastructures (eg code, data, and computing power) and a lack of understanding of how AI tools reach their conclusions (explainability) make it difficult for independent researchers to scrutinise, verify and replicate experiments.
The paper warns that reliance on AI in research could lead to 'inflated expectations, exaggerated claims of accuracy, or research outputs based on spurious correlations.'
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