Abstract
Academics globally are always within their rights to be concerned about the impact of disruptive technology or practice that can be used negatively to diminish student learning experience or value of education. This chapter provides a comprehensive insight into artificial intelligence (AI), how people view technology that uses AI, the fears and opportunities that come with it. The chapter, in particular, focuses on generative AI that produces content which can be text, image, video, and so on, to provide an understanding of the concepts for educators and decision-makers in academia and to identify the concerns surrounding AI ethics that extrapolates AI in education (AIED). It concludes with a suggested framework to help educators take an informed decision on whether and when to use generative AI tools and when to reject them for the benefit of the students, their learning, and their future-readiness.
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Khan, Z.R. (2024). Ethics of Artificial Intelligence in Academia. In: Eaton, S.E. (eds) Second Handbook of Academic Integrity. Springer International Handbooks of Education. Springer, Cham. https://doi.org/10.1007/978-3-031-54144-5_188
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