Video: How the Use of AI Tools Affects Peer Review

Peer review is a key process of evaluating scholarly work. Any research that gets published in peer-reviewed journals should be of high quality. But with the active use of AI tools, the scientific community is starting to question whether the peer review process is truly unaffected by AI bias. 

In this video, James Sonne (Anatomy & Neurobiology, Ph.D. Integrated Biomedical Sciences) explores some tough questions on how AI is influencing this sacred, objective process. Researchers have different motivations for publishing in scientific journals. These motivations play a key role in determining how AI is used or misused. The responsibility lies with each one of us as scientists, as potential peer reviewers, to consider for ourselves:  

What is scientific research good for?  

And when peer reviewers evaluate manuscripts, that should be the goal they are focusing on. We all need to work towards eliminating those unconscious biases that are clouding our judgments and provide a fair assessment when reviewing papers. 

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