The competitive academic landscape pressures faculty to publish while managing heavy teaching duties. This climate raises concerns about the reliability of research due to dubious submissions and peer-review inefficiencies, highlighted by the reported 4,600 research paper retractions in 2024. The $19 billion academic publishing sector is exploring AI to enhance research quality and streamline processes. Companies like Wiley and Elsevier are investing in AI tools, which could improve integrity but also introduce new risks as scholars lag in their adoption of such technologies.
The perennial pressure to publish or perish is intense as ever for faculty trying to advance their careers in an exceedingly tight academic job market.
AI tools can also be used to generate content and potentially increase research integrity risk. That's why we've invested so much in using these tools to stay ahead of that curve.
In 2024, more than 4,600 academic papers were retracted or otherwise flagged for review, according to the Retraction Watch database.
AI tools can help us improve research integrity, quality, accurate citation, and our ability to find new insights and connect the dots between new ideas.
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