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The Peer Review System: A Journal Editor's 30-Year Perspective
1Arizona College of Podiatric Medicine, Midwestern University, Glendale, AZ, USA; Journal of the American Podiatric Medical Association, 420 S York Road, Unit 17C, Hatboro, PA 19040, USA.
The scientific peer review system faces challenges including reviewer burden, lack of motivation, and inherent biases. Emerging artificial intelligence may significantly alter this traditional publication process.
Area of Science:
- Scientific publishing
- Scholarly communication
Background:
- The peer review system is the standard for scientific article evaluation.
- This system, established in the mid-1800s, has persistent challenges.
Purpose of the Study:
- To examine the inherent difficulties within the scientific peer review process.
- To discuss the impact of reviewer burden, motivation, and bias.
- To consider the potential influence of artificial intelligence on peer review.
Main Methods:
- Analysis of the historical and current operational aspects of the peer review system.
- Identification of systemic issues including reviewer workload and potential biases.
- Exploration of the implications of emerging technologies like AI.
Main Results:
- Reviewers are volunteers facing significant time and effort demands, leading to delays.
- Inherent biases among reviewers, authors, editors, and journals can impact the process.
- Existing methods to mitigate bias, such as blinding, have had limited success.
Conclusions:
- The traditional peer review system is burdened by volunteer limitations and potential biases.
- Artificial intelligence presents a transformative, yet uncertain, future for scientific peer review.
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