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Sayash Kapoor

Showing results (1-10 of 6) with videos related to

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Patterns (New York, N.Y.)|September 18, 2023
Leakage and the reproducibility crisis in machine-learning-based scienceSayash Kapoor, Arvind Narayanan
Nature|April 8, 2025
Why an overreliance on AI-driven modelling is bad for scienceArvind Narayanan, Sayash Kapoor
Proceedings of the National Academy of Sciences of the United States of America|August 7, 2023
The limitations of machine learning models for predicting scientific replicabilityM J Crockett, Xuechunzi Bai, Sayash Kapoor, et al.
Science (New York, N.Y.)|October 10, 2024
Considerations for governing open foundation modelsRishi Bommasani, Sayash Kapoor, Kevin Klyman, et al.
Science Advances|May 1, 2024
REFORMS: Consensus-based Recommendations for Machine-learning-based ScienceSayash Kapoor, Emily M Cantrell, Kenny Peng, et al.
Nature Human Behaviour|September 20, 2024
How large language models can reshape collective intelligenceJason W Burton, Ezequiel Lopez-Lopez, Shahar Hechtlinger, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Patterns (New York, N.Y.)|September 18, 2023
Leakage and the reproducibility crisis in machine-learning-based scienceSayash Kapoor, Arvind Narayanan
Nature|April 8, 2025
Why an overreliance on AI-driven modelling is bad for scienceArvind Narayanan, Sayash Kapoor
Proceedings of the National Academy of Sciences of the United States of America|August 7, 2023
The limitations of machine learning models for predicting scientific replicabilityM J Crockett, Xuechunzi Bai, Sayash Kapoor, et al.
Science (New York, N.Y.)|October 10, 2024
Considerations for governing open foundation modelsRishi Bommasani, Sayash Kapoor, Kevin Klyman, et al.
Science Advances|May 1, 2024
REFORMS: Consensus-based Recommendations for Machine-learning-based ScienceSayash Kapoor, Emily M Cantrell, Kenny Peng, et al.
Nature Human Behaviour|September 20, 2024
How large language models can reshape collective intelligenceJason W Burton, Ezequiel Lopez-Lopez, Shahar Hechtlinger, et al.
Pageof 1