Interdisciplinary Studies
AI-assisted Peer Review
A. Checco, L. Bracciale, et al.
This study, conducted by Alessandro Checco, Lorenzo Bracciale, Pierpaolo Loreti, Stephen Pinfield, and Giuseppe Bianchi, delves into the role of AI in enhancing the peer-review process for scientific literature. With increasing submission volumes, the authors propose innovative AI tools aimed at improving efficiency and identifying biases, while also addressing the ethical implications and potential biases of these algorithms.
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