Responsible AI Use in Computer Science Education Research

Abstract

Generative AI presents many possible use cases in the context of education research, including summarizing previous research, creating literature reviews, generating synthetic data, analyzing qualitative as well as quantitative data, creating data visualizations, and writing research papers. However, there are also many ethical issues that may arise related to the use of generative AI, including concerns related to environmental impact, human impact, data privacy, transparency and replicability, the potential for data re-identification, intellectual property and intellectual debt, the digital divide, and accuracy and bias. In order to promote the responsible use of AI in education research, we formed a group with expertise across the relevant research practices and ethical issues to convene in order to articulate guidelines for the use of generative AI in STEM education research.

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