...The present findings suggest that the current state of AI language models demonstrate higher creative potential than human respondents.
https://doi.org/10.1038/s41598-024-53303-w
article about this paper:
https://mobinetai.com/ai-more-creative-than-99-people/
Using quantitative metrics to assess researchers is often seen as a poor choice compared with using qualitative assessments. In this Perspective, the authors argue in favor of using rigorous, field-adjusted, centralized, quantitative metrics in a bid to help improve research practices as a low-cost public good.
Data is powerful because it’s universal. The cost is context. Policymakers want to make decisions based on clear data, but important factors are lost when we rely solely on data.
Nguyen, C. Thi. “The Limits of Data.” Issues in Science and Technology 40, no. 2 (Winter 2024): 94–101. https://doi.org/10.58875/LUXD6515
Nature article about Replika AI companion:
https://www.nature.com/articles/s44184-023-00047-6
Review of initiatives and uptake of open research practices in psychology.
https://doi.org/10.1098/rsos.241726