Work

Institutional Self-Assessment Tool for Ethical AI

Year: 2025

Type: article

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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17864327

Authors: Triantafyllopoulos, Loukas, Panagiotopoulos, Andreas, Takouli, Vasiliki, Kalles, Dimitris, Kameas, Achilles, Antonaci, Alessandra

Institutions: Hellenic Open University, European Association of Distance Teaching Universities

Language: English

Topic: Artificial Intelligence in Education

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: green

OpenAlex ID: W7116291879

FWCI: 1.107

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Cited by: 1

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