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Academic Insights
2026, 5 6
The Future of Peer Review: AI and Human Collaboration
Exploring How Artificial Intelligence Transforms Academic Evaluation: Enhancing Review Efficiency and Quality
# Applications of Artificial Intelligence in Peer Review
As AI technology advances rapidly, the academic publishing landscape is undergoing profound transformation.
## Current Challenges
- Traditional peer review is time-consuming and inefficient
- Limited availability of expert reviewers
- Subjective bias can compromise review quality
## AI-Assisted Review
1. **Initial Screening**: AI quickly assesses manuscript quality and compliance
2. **Similarity Detection**: Automatically identifies plagiarism and duplicate submissions
3. **Expert Matching**: Intelligently recommends the most suitable reviewers
## Human-AI Collaboration Model
The future lies in collaboration between AI and human experts: AI handles efficiency while humans provide judgment, jointly elevating the quality of academic publishing.
