Research Integrity and AI: Navigating Challenges and Leveraging Potential

As AI continues to impact higher education, it brings forth new challenges and opportunities in maintaining academic integrity. Research integrity plays a pivotal role in maintaining the quality of research and its subsequent publication. Its significance resonates not only with the research community but also with publishers.

Libraries, as indispensable partners, play a crucial role in upholding rigorous standards within scholarly endeavors. They serve as guides through the intricate landscape of AI adoption, ensuring its ethical application, and fostering a research ecosystem that places integrity at the forefront.

Join Chris Graf, Research Integrity Director at Springer Nature, who leads a team that is at the forefront of integrating AI to enhance research integrity, for an enlightening one-hour session, where he delves into the following key areas, providing practical examples of:

1. AI’s Dual Role: Understanding both the threats and the potential benefits of - AI in ensuring reliable research outcomes.
2. Publishing and Integrity: Examining the interplay between technology and human resources in maintaining research integrity.
3. Library Support: Recognizing the crucial role libraries play in fostering and upholding research integrity.
4. Resource Availability: Discovering essential resources that aid research integrity efforts.

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Timestamps:
00:00: Technical introduction
02:43: Background on speaker Chris Graf and presentation agenda
06:23: Springer Nature context
09:51: Examples of researchers submitting retractions
14:36: Publisher retraction data
17:08: Adopting AI tools to prevent research integrity problems
29:32: Resources
35:38: Audience Q&A

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