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Policy and guidance on the use of generative artificial intelligence in UK higher education

Policy and guidance on the use of generative artificial intelligence in UK higher education
Policy and guidance on the use of generative artificial intelligence in UK higher education
This paper describes the discussions, contentions, and arguments for and against the use of generative artificial intelligence (GenAI) in Higher Education (HE). It includes an overview of artificial intelligence, synthesises the guidelines and policies on the use of GenAI, and investigates the opportunities to optimise the application of GenAI tools in HE. We suggest that while there is uncertainty surrounding such tools it is important to look at their potential utility and efficacy.
AI, Higher Education, GenAI
2025-01
University of Southampton
Awasthi, Arjun
f6868e60-6497-46e0-9667-2c1ddf65ac11
Gupta, Achala
a30fa79d-e9dc-4237-93d4-bdaf8816780a
Awasthi, Arjun
f6868e60-6497-46e0-9667-2c1ddf65ac11
Gupta, Achala
a30fa79d-e9dc-4237-93d4-bdaf8816780a

Awasthi, Arjun and Gupta, Achala (2025) Policy and guidance on the use of generative artificial intelligence in UK higher education (WSI White Papers, 2025-01) Southampton. University of Southampton 18pp. (doi:10.5258/SOTON/WSI-WP013).

Record type: Monograph (Project Report)

Abstract

This paper describes the discussions, contentions, and arguments for and against the use of generative artificial intelligence (GenAI) in Higher Education (HE). It includes an overview of artificial intelligence, synthesises the guidelines and policies on the use of GenAI, and investigates the opportunities to optimise the application of GenAI tools in HE. We suggest that while there is uncertainty surrounding such tools it is important to look at their potential utility and efficacy.

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2025-01 Policy and guidance on the use of generative AI - FINAL - Version of Record
Available under License Creative Commons Attribution Non-commercial No Derivatives.
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Published date: 26 February 2025
Keywords: AI, Higher Education, GenAI
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Identifiers

Local EPrints ID: 498754
URI: http://eprints.soton.ac.uk/id/eprint/498754
DOI: doi:10.5258/SOTON/WSI-WP013
PURE UUID: 404cbd4b-3251-4b16-92f8-783959a51ab2
ORCID for Arjun Awasthi: ORCID iD orcid.org/0000-0002-6285-3565
ORCID for Achala Gupta: ORCID iD orcid.org/0000-0002-3172-8198

Catalogue record

Date deposited: 27 Feb 2025 17:30
Last modified: 05 Mar 2025 03:06

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Contributors

Author: Arjun Awasthi ORCID iD
Author: Achala Gupta ORCID iD

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