Virtuous AI-Use Framework: A matrix for ethical AI-use

Abstract

After ChatGPT went live in November 2022, higher education went into a reactive state of concern over cheating and plagiarism. Building on years of our prior research, we sought to understand how students themselves reason about the ethical use of AI and GenAI tools. This manuscript is meant to illuminate how students draw boundaries between learning and shortcutting and why their reasoning may diverge from institutional understandings of cheating. To explain why students’ self-understandings and expression of “ethical” AI use so often diverge from institutional narratives about “cheating,” we developed the AI-Use Ethics Matrix. The matrix is informed by convergent findings across prior studies from grounded theory analysis of student interviews. It is an integrative analytic framework axial-coding device that organizes categories surfaced during open coding such as effort and intention, fear of accusation, policy ambiguity, transparent use, and substitution into a simple, testable model. The matrix places cases along two continuous dimensions: the X-axis captures Intention and Effort toward Intellectual Flourishing; the Y-axis captures Clarity and Support of Institutional Guidance. Together they create four quadrants that distinguish virtuous integration from anxious effort, opportunistic shortcuts, and efficient circumvention.

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