Taxonomy of the ethical issues related to the use of LLM/ Generative AI systems in Higher Education. Research Report No. 5.2, ADMIT.
Year: 2024
Type: article
Abstract: This document presents a deliverable detailing the Taxonomy for the Ethical Use of Generative AI in Higher Education, developed within the ADMIT project to support the responsible adoption and use of Generative AI across higher education. The taxonomy provides a structured framework that translates key ethical principles and legal requirements into practical dimensions and guiding questions that can inform the planning, implementation, and evaluation of GenAI applications in educational contexts. The taxonomy covers eight ethical dimensions: 1) Educational Impact and Integrity; 2) Privacy and Data Governance;3) Societal, Individual and Environmental Wellbeing; 4) Teacher and Student Agency and Oversight; 5) Diversity, Non-discrimination and Fairness; 6) Accountability; 7)Transparency, and 8) Technical Robustness and Safety, complemented by a legal dimension based on the General Data Protection Regulation (GDPR), the AI Act, and relevant intellectual property considerations. Together, these dimensions provide a comprehensive framework for identifying ethical challenges, supporting reflective decision-making, and promoting responsible AI practices in higher education
Language: English
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W7204086273