The Ethics of Artificial Intelligence in 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 the authors build, the questions about human learning and development they ask, the ethics of the pedagogies they use, and the considerations of values that they promote in and through AIED within a wider socio-technical system.
Abstract
The transition of Artificial Intelligence (AI) from a lab-based science to\nlive human contexts brings into sharp focus many historic, socio-cultural\nbiases, inequalities, and moral dilemmas. Many questions that have been raised\nregarding the broader ethics of AI are also relevant for AI in Education\n(AIED). AIED raises further specific challenges related to the impact of its\ntechnologies on users, how such technologies might be used to reinforce or\nalter the way that we learn and teach, and what we, as a society and\nindividuals, value as outcomes of education. This chapter discusses key ethical\ndimensions of AI and contextualises them within AIED design and engineering\npractices to draw connections between the AIED systems we build, the questions\nabout human learning and development we ask, the ethics of the pedagogies we\nuse, and the considerations of values that we promote in and through AIED\nwithin a wider socio-technical system.\n