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Responsible AI in Academic Research - a policy proposal

  • 1.  Responsible AI in Academic Research - a policy proposal

    Posted 4 hours ago
    Hello colleagues

    I'm sharing a new open-access policy document that you may find useful:     Responsible AI in Academic Research: A Competency Framework for Research Training. 

    It came from a deceptively simple question: what does "responsible AI use" actually mean at the level of everyday research practice? This seemed like a priority given the substantial AI research training that Instats has been offering since ChatGPT's launch. Over time, the document grew into a survey of AI policy at 38 top-tier doctoral universities across 15 countries, only six of which currently go beyond research-integrity rules into AI literacy and valid research practice. The piece sets out a five-dimension competency framework and a plain-language maturity grid that any department, graduate school, or research office can use to see where it stands today and what a credible next step looks like. A key takeaway is that plagiarism is not the central issue AI raises for research training. The deeper concern is whether research remains valid, and whether our training equips students with the knowledge and skills to conduct it responsibly.

    The policy document is written for the people actually making these calls - supervisors, deans, graduate-school directors, and research-integrity committees - and it's free to read, share, and download. Please feel free to pass it along to anyone wrestling with these questions.


    Best wishes

    Michael Zyphur
    Professor and Director
    Instats | instats.org


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    Michael Zyphur
    Professor
    UQ Business School
    University of Queensland
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