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Abstract
This chapter discusses the ethical implications of Generative Artificial Intelligence on students, academic staff and researchers. Despite the attractive allure of generative AI there remains an undercurrent of ethical issues. If not addressed, these threaten to undermine the use and credibility of the eventual output, the person using the material and any particular purpose to which the material has been used. Whilst problems have been identified through the use of these tools, these have not specifically been viewed through the lens of three key groups within Higher Education - Academic Staff, Students and Researchers. The identification of these issues will provide a starting point for many institutions who are developing guidance and policies in their own contexts.
Original language | English |
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Title of host publication | Artificial Intelligence Applications in Higher Education |
Subtitle of host publication | Theories, Ethics, and Case Studies for Universities |
Editors | Helen Crompton, Diane Burke |
Publisher | Routledge |
Chapter | 3 |
Pages | 33-51 |
Number of pages | 19 |
ISBN (Electronic) | 978-1-003-44017-8 |
ISBN (Print) | 978-1-032-57386-1, 978-1-032-57614-5 |
DOIs | |
Publication status | Accepted/In press - 22 Mar 2024 |
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Dive into the research topics of 'The ethical implications of generative Artificial Intelligence on students, academic staff and researchers in Higher Education'. Together they form a unique fingerprint.Activities
- 1 Conference Presentation
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Three rooms: Ethics, AI and Employability in the classroom, court room and board room
Sneddon, S. (Author)
25 Jun 2024Activity: Academic Talks or Presentations › Conference Presentation › Research
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