Ethical considerations for artificial intelligence in educational assessments

• Main Authors: LIM MING SOON TRISTAN, GOTTIPATI Swapna, CHEONG, Michelle L. F.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Applied Ethics; Normative Ethics; Inclusivity; Artificial Intelligence and Robotics
• Online Access: https://ink.library.smu.edu.sg/sis_research/9240; https://ink.library.smu.edu.sg/context/sis_research/article/10240/viewcontent/Chapter_Lim19Aug2023_CondensedVerPreprint__1_.pdf
• Institution: Singapore Management University

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.