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      The role and challenges of education for responsible AI

      research-article
      London Review of Education
      UCL Press
      artificial intelligence, responsible AI, ethics, trustworthy AI

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          Abstract

          Artificial intelligence (AI) is impacting education in many different ways. From virtual assistants for personalized education, to student or teacher tracking systems, the potential benefits of AI for education often come with a discussion of its impact on privacy and well-being. At the same time, the social transformation brought about by AI requires reform of traditional education systems. This article discusses what a responsible, trustworthy vision for AI is and how this relates to and affects education.

          Most cited references39

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          The global landscape of AI ethics guidelines

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            Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy

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              AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations

              This article reports the findings of AI4People, an Atomium—EISMD initiative designed to lay the foundations for a “Good AI Society”. We introduce the core opportunities and risks of AI for society; present a synthesis of five ethical principles that should undergird its development and adoption; and offer 20 concrete recommendations—to assess, to develop, to incentivise, and to support good AI—which in some cases may be undertaken directly by national or supranational policy makers, while in others may be led by other stakeholders. If adopted, these recommendations would serve as a firm foundation for the establishment of a Good AI Society.
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                Author and article information

                Journal
                lre
                London Review of Education
                UCL Press (UK )
                1474-8479
                13 January 2021
                : 19
                : 1
                : e19101
                Affiliations
                [1]Umeå University, Sweden
                Author notes
                Corresponding author: Email: virginia@ 123456cs.umu.se
                Author information
                https://orcid.org/0000-0001-7409-5813
                Article
                10.14324/LRE.19.1.01
                3f2f231a-3978-4ded-bca4-90330b68f110
                Copyright © 2021 Dignum

                This is an open-access article distributed under the terms of the Creative Commons Attribution Licence (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
                : 04 March 2020
                : 24 August 2020
                Page count
                Figures: 1, References: 35, Pages: 12
                Categories
                Special feature article

                Education,Assessment, Evaluation & Research methods,Educational research & Statistics,General education
                responsible AI,ethics,trustworthy AI,artificial intelligence

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