mlsanityData to 7 Oct 2026

A University Framework for the Responsible use of Generative AI in Research

arXiv 2404.19244 ↗First posted 30 Apr 2024cs.CY cs.AIcited by 1

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Abstract (arXiv)

Generative Artificial Intelligence (generative AI) poses both opportunities and risks for the integrity of research. Universities must guide researchers in using generative AI responsibly, and in navigating a complex regulatory landscape subject to rapid change. By drawing on the experiences of two Australian universities, we propose a framework to help institutions promote and facilitate the responsible use of generative AI. We provide guidance to help distil the diverse regulatory environment into a principles-based position statement. Further, we explain how a position statement can then serve as a foundation for initiatives in training, communications, infrastructure, and process change. Despite the growing body of literature about AI's impact on academic integrity for undergraduate students, there has been comparatively little attention on the impacts of generative AI for research integrity, and the vital role of institutions in helping to address those challenges. This paper underscores the urgency for research institutions to take action in this area and suggests a practical and adaptable framework for so doing.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 8 of its 122 references that are in the map. First posted on arXiv 30 Apr 2024.

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8 of 122 references.

References · 8

  1. 2021On the Opportunities and Risks of Foundation Modelscited by 3,961
  2. 2022BERTopic: Neural topic modeling with a class-based TF-IDF procedurecited by 779
  3. 2023Can AI-Generated Text be Reliably Detected?cited by 372
  4. 2023GPT detectors are biased against non-native English writerscited by 175
  5. 2022Can Foundation Models Wrangle Your Data?cited by 173
  6. 2024Beyond prompt brittleness: Evaluating the reliability and consistency of political worldviews in LLMscited by 55
  7. 2021Tortured phrases: A dubious writing style emerging in science. Evidence of critical issues affecting established journalscited by 17
  8. 2023Dual Use Concerns of Generative AI and Large Language Modelscited by 6

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