Publication Type
Book Chapter
Version
publishedVersion
Publication Date
12-2023
Abstract
In the vital context of education, the application of artificial intelligence (AI) to assessments necessitates a nuanced examination of the boundaries between ethically permissible and impermissible practices. In this chapter, the authors applied a systematic literature mapping methodology to scour extant research, so as to holistically structure the landscape into explicit topical research clusters. Through topic modelling and network analyses, research mapped key ethical principles to different assessment phases in a triadic ontological framework. The chapter looks to provide researchers and practitioners the insights into the ethical challenges that exist across an end-to-end assessment pipeline.
Keywords
Applied Ethics, Normative Ethics, Inclusivity
Discipline
Artificial Intelligence and Robotics
Research Areas
Data Science and Engineering
Publication
Creative AI tools and ethical implications in teaching and learning
Editor
KEENGWEE, Jared
First Page
32
Last Page
79
ISBN
9798369302057
Identifier
10.4018/979-8-3693-0205-7
Publisher
IGI Global
Citation
LIM MING SOON TRISTAN; GOTTIPATI Swapna; and CHEONG, Michelle L. F..
Ethical considerations for artificial intelligence in educational assessments. (2023). Creative AI tools and ethical implications in teaching and learning. 32-79.
Available at: https://ink.library.smu.edu.sg/sis_research/9240
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.4018/979-8-3693-0205-7