In this section, we delve into the ethical dimensions of AI in higher education. These articles will guide you through the potential benefits of AI-driven educational tools, while also highlighting concerns such as bias, privacy, accessibility, and the balance between human and AI interaction in the classroom. As you navigate these readings, consider the profound implications and responsibilities educators hold in this evolving landscape.
The ethics of AI in higher education
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Citation:
Liu, B.L., Morales, D., Roser Chinchilla, J.F., Sabzalieva, E., Valentini, A., Vieira do Nascimento, D. & Yerovi, C. (2023). Harnessing the Era of Artificial Intelligence in Higher Education: A Primer for Higher Education Stakeholders. Caracas: IESALC.
The Artificial Intelligence Assessment Scale (AIAS): A Framework for Ethical Integration of Generative AI in Educational Assessment
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Citation:
Perkins, M., Furze, L., Roe, J., MacVaugh, J.(2024). The Artificial Intelligence Assessment Scale (AIAS): A Framework for Ethical Integration of Generative AI in Educational Assessment. Journal of University Teaching and Learning Practice, 21(6). https://doi.org/10.53761/q3azde36.
