The ethics of AI in education

Kaska Porayska-Pomsta, Wayne Holmes, Selena Nemorin

Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Researchpeer-review

Abstract

The transition of Artificial Intelligence (AI) from a lab-based science to live human contexts brings into sharp focus many historic, sociocultural biases, inequalities and moral dilemmas. Many questions that have been raised regarding the broader ethics of AI are also relevant for AI in Education (AIED). AIED raises further specific challenges related to the impact of its technologies on users, how such technologies might be used to reinforce or alter the way that we learn and teach, and what we, as a society and individuals, value as outcomes of education. This chapter discusses key ethical dimensions of AI and contextualises them within AIED design and engineering practices to draw connections between the AIED systems we build, the questions about human learning and development we ask, the ethics of the pedagogies we use and the considerations of values that we promote in and through AIED within a wider sociotechnical system.
Original languageEnglish
Title of host publicationHandbook of Artificial Intelligence in Education
EditorsBenedict du Boulay, Antonija Mitrovic, Kalina Yacef
Place of PublicationCheltenham UK
PublisherEdward Elgar Publishing
Chapter26
Pages571-604
Number of pages34
Edition1st
ISBN (Electronic)9781800375413
ISBN (Print)9781800375406
DOIs
Publication statusPublished - 2023
Externally publishedYes

Publication series

NameElgar Handbooks in Education

Keywords

  • ethics of AIED
  • ethical AI
  • AI bias
  • harms
  • fairness
  • framework for ethical AIED

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