Kriter
The Scientific Community’s Test with Artificial Intelligence
Article summary
Generative artificial intelligence is forcing science to reconsider authorship, originality and research integrity.
As tools take over research, analysis and writing, the researcher can shift from author to curator or editor.
Divergent regulatory approaches in the European Union, the United States and China create new compliance challenges for international research partnerships.
Paper mills, fabricated data and images, and unreliable detection tools make scholarly publishing more vulnerable.
The article favors transparency, access to raw data and clear disclosure of research processes over blanket bans, while examples such as AlphaFold and GNoME demonstrate the technology’s scientific value.
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