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Best Practices for the Responsible Adoption of Generative AI in Higher Education

Year: 2025

Type: conference-paper

Abstract: In this paper, we propose a set of best practices for the responsible adoption of Generative Artificial Intelligence (AI) in higher education. These best practices provide a comprehensive framework for higher education institutions to effectively and ethically integrate Generative AI into their teaching and learning practices. The framework prioritises a responsible and human-centred approach, alongside pedagogical soundness, careful planning, transparency, as well as content quality. By exploring the responsible adoption of Generative AI in higher education, we seek to provide scalable, personalised learning experiences for large cohorts of students. Our research focuses on harnessing Generative AI to offer tailored educational content and generate constructive feedback for students. Additionally, by adhering to responsible AI practices, we aim to address challenges such as misinformation, copyright violations, and bias.

DOI: 10.3390/proceedings2025114006

Authors: Alexander Mikroyannidis, Audrey Ekuban, Joseph Kwarteng, John Domingue

Institution: The Open University

Language: English

Topic: Artificial Intelligence in Education

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: gold

Funder: Engineering and Physical Sciences Research Council

OpenAlex ID: W4408201939

FWCI: 4.7

Cites: 20

Cited by: 4

Related to: 10