Institutional Self-Assessment Tool for Ethical AI

This deliverable reports on the design, implementation, and initial deployment of the ADMIT self-assessment tool for the ethical use of Generative AI in higher education. It describes how the ethical taxonomy developed in D.5.2 was operationalised into a set of indicators, transformed into three role-specific questionnaires, and linked to tailored feedback messages. The document outlines the methodological choices made in formulating items and feedback, the technical realisation of the web-based application, and illustrative use scenarios for students, educators, and institutional leaders. It also highlights how the tool can be embedded into broader institutional strategies for responsible GenAI adoption and briefly points to its current limitations and planned extensions within the ADMIT project.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-09
DOI
https://doi.org/10.5281/zenodo.17864328
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
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article

Institutional Self-Assessment Tool for Ethical AI

Loukas Triantafyllopoulos, Achilles Kameas, Dimitris Kalles, Alessandra Antonaci et al.
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
article

Institutional Self-Assessment Tool for Ethical AI

Loukas Triantafyllopoulos, Achilles Kameas, Dimitris Kalles, Alessandra Antonaci, Vasiliki Takouli, Andreas Panagiotopoulos
article en

Abstract

This deliverable reports on the design, implementation, and initial deployment of the ADMIT self-assessment tool for the ethical use of Generative AI in higher education. It describes how the ethical taxonomy developed in D.5.2 was operationalised into a set of indicators, transformed into three role-specific questionnaires, and linked to tailored feedback messages. The document outlines the methodological choices made in formulating items and feedback, the technical realisation of the web-based application, and illustrative use scenarios for students, educators, and institutional leaders. It also highlights how the tool can be embedded into broader institutional strategies for responsible GenAI adoption and briefly points to its current limitations and planned extensions within the ADMIT project.

Zenodo (CERN European Organization for Nuclear Research)
Hellenic Open University (GR), European Association of Distance Teaching Universities (NL)
Quality Education
Openalex Percentile: Top 30%
Ethics and Social Impacts of AI
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