Improving Reproducibility of Artificial Intelligence Research to Increase Trust and Productivity
O. Gundersen. Artificial Intelligence in Science Challenges, Opportunities and the Future of Research, (2023)
Zusammenfassung
Several recent studies have shown that many scientific results cannot be trusted. While the ``reproducibility crisis'' was first recognised in psychology, the problem affects most if not all branches of science. This essay analyses the underlying issues causing research to be irreproducible – with a focus on artificial intelligence (AI) – so that mitigating policies can be formulated.
Artificial Intelligence in Science Challenges, Opportunities and the Future of Research
Jahr
2023
annotation
https://doi.org/10.1787/a8d820bd-en
file
/Users/sibyllehermann/Zotero/storage/QAFG39FY/Improving reproducibility of artificial intelligen.pdf;/Users/sibyllehermann/Zotero/storage/DXMM6PB9/artificial-intelligence-in-science_3f57323a-en.html
%0 Book Section
%1 Gundersen2023Improving
%A Gundersen, Odd Erik
%B Artificial Intelligence in Science Challenges, Opportunities and the Future of Research
%D 2023
%K lesen,zitiert
%T Improving Reproducibility of Artificial Intelligence Research to Increase Trust and Productivity
%X Several recent studies have shown that many scientific results cannot be trusted. While the ``reproducibility crisis'' was first recognised in psychology, the problem affects most if not all branches of science. This essay analyses the underlying issues causing research to be irreproducible – with a focus on artificial intelligence (AI) – so that mitigating policies can be formulated.
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annotation = {https://doi.org/10.1787/a8d820bd-en},
author = {Gundersen, Odd Erik},
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keywords = {lesen,zitiert},
shorttitle = {Artificial {{Intelligence}} in {{Science}}},
timestamp = {2024-01-29T00:52:52.000+0100},
title = {Improving Reproducibility of Artificial Intelligence Research to Increase Trust and Productivity},
urldate = {2024-01-25},
year = 2023
}