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      Artificial intelligence in schools: Towards a democratic future

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            Abstract

            The introduction of artificial intelligence in education (AIED) is likely to have a profound impact on the lives of children and young people. This article explores the different types of artificial intelligence (AI) systems in common use in education, their social context and their relationship with the growth of commercial knowledge monopolies. This in turn is used to highlight data privacy rights issues for children and young people, as defined by the 2018 General Data Protection Regulations (GDPR). The article concludes that achieving a balance between fairness, individual pedagogic rights ( Bernstein, 2000 ), data privacy rights and effective use of data is a difficult challenge, and one not easily supported by current regulation. The article proposes an alternative, more democratically aware basis for artificial intelligence use in schools.

            Author and article information

            Journal
            lre
            lre
            London Review of Education
            LRE
            UCL Press (UK )
            1474-8479
            21 July 2020
            : 18
            : 2
            : 163-177
            Affiliations
            [1]UCL Institute of Education, UK
            Author notes
            Corresponding author: Email: s.leaton-gray@ 123456ucl.ac.uk
            Author information
            https://orcid.org/0000-0001-9198-8269
            Article
            10.14324/LRE.18.2.02
            91e2e757-7cf9-4836-8bf1-82bebe79c789
            Copyright © 2020 Leaton Gray

            This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY) 4.0 https://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

            History
            : 24 September 2019
            : 28 April 2020
            Page count
            References: 70, Pages: 16

            Education,Assessment, Evaluation & Research methods,Educational research & Statistics,General education
            Homans,Bernstein,General Data Protection Regulations (GDPR),data privacy,algorithms,artificial intelligence

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