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What is Ethics Bluewashing

Creative AI Tools and Ethical Implications in Teaching and Learning
The implementation of superficial or misleading measures to appear ethical.
Published in Chapter:
Ethical Considerations for Artificial Intelligence in Educational Assessments
Tristan Lim (Nanyang Polytechnic, Singapore & Singapore Management University, Singapore), Swapna Gottipati (Singapore Management University, Singapore), and Michelle L. F. Cheong (Singapore Management University, Singapore)
DOI: 10.4018/979-8-3693-0205-7.ch003
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.
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