Utopian and dystopian visions: Steering a course for the responsible use of artificial intelligence (AI) in language testing and assessment.

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Title: Utopian and dystopian visions: Steering a course for the responsible use of artificial intelligence (AI) in language testing and assessment.
Authors: Harding, Luke1 (AUTHOR) l.harding@lancaster.ac.uk
Source: Language Testing. Oct2025, Vol. 42 Issue 4, p561-575. 15p.
Subject Terms: *Artificial intelligence, *Language ability testing, *Educational technology, *Digital literacy, *Educational evaluation, Utopias, Applied ethics, Pessimism
Abstract: This article provides a discussion of the special issue: Advancing language assessment for teaching and learning in the era of artificial intelligence (AI) revolution: promises and challenges. In the first section, the special issue is contextualised within the recent history of the field of language testing and assessment and the rapid introduction of AI to assessment practices. In the second section, a dystopian vision for the use of AI in language assessment is described, drawing on recent critical perspectives concerning the use of AI in EdTech and popular culture. The third section provides counter examples, describing conceptual and practical work that has been done to establish guidelines for responsible use of AI in language assessment and sketching an alternative, utopian vision. The fourth section discusses the seven articles in the special issue, considering their orientation to features of the utopian vision. In the final section, two deeper questions are considered: Can AI be trusted to make ethical/moral decisions? And Is AI literacy possible (or enough)? [ABSTRACT FROM AUTHOR]
Copyright of Language Testing is the property of Sage Publications, Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: Utopian and dystopian visions: Steering a course for the responsible use of artificial intelligence (AI) in language testing and assessment.
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  Data: This article provides a discussion of the special issue: Advancing language assessment for teaching and learning in the era of artificial intelligence (AI) revolution: promises and challenges. In the first section, the special issue is contextualised within the recent history of the field of language testing and assessment and the rapid introduction of AI to assessment practices. In the second section, a dystopian vision for the use of AI in language assessment is described, drawing on recent critical perspectives concerning the use of AI in EdTech and popular culture. The third section provides counter examples, describing conceptual and practical work that has been done to establish guidelines for responsible use of AI in language assessment and sketching an alternative, utopian vision. The fourth section discusses the seven articles in the special issue, considering their orientation to features of the utopian vision. In the final section, two deeper questions are considered: Can AI be trusted to make ethical/moral decisions? And Is AI literacy possible (or enough)? [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Language Testing is the property of Sage Publications, Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1177/02655322251350717
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      – Code: eng
        Text: English
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      – SubjectFull: Artificial intelligence
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      – SubjectFull: Language ability testing
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      – SubjectFull: Educational technology
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      – SubjectFull: Digital literacy
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      – SubjectFull: Educational evaluation
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      – SubjectFull: Utopias
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      – SubjectFull: Applied ethics
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              Text: Oct2025
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