Evaluation schema for AI in education on data, privacy, ethics, and EU values (WP5)
AI Pioneers > Evaluation schema for AI in education on data, privacy, ethics, and EU values (WP5)
This document presents an evaluation schema designed to support educational institutions adopting Artificial Intelligence (AI). Its purpose is to guide institutions in ensuring they are implementing the use of AI in an ethically sound way while helping teachers and learners build the capacities needed for responsible AI use. The schema focuses on key ethical principles such as diversity, transparency, privacy, sustainability, and AI literacy.
As part of the AI Pioneers project, which aims to support the integration of AI into Adult Education and Vocational Education and Training (VET), the evaluation schema offers a practical framework to navigate AI adoption. It addresses essential topics such as AI governance, operational and pedagogical considerations, and ethical concerns like academic integrity and copyright. This framework empowers institutions to adopt AI in ways that are ethical, transparent, and aligned with educational goals, preparing both educators and students to thrive in an AI-driven future.
This project has been funded with support from the European Commission. This publication [communication] reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.
This document presents an evaluation schema designed to support educational institutions adopting Artificial Intelligence (AI). Its purpose is to guide institutions in ensuring they are implementing the use of AI in an ethically sound way while helping teachers and learners build the capacities needed for responsible AI use. The schema focuses on key ethical principles such as diversity, transparency, privacy, sustainability, and AI literacy.
As part of the AI Pioneers project, which aims to support the integration of AI into Adult Education and Vocational Education and Training (VET), the evaluation schema offers a practical framework to navigate AI adoption. It addresses essential topics such as AI governance, operational and pedagogical considerations, and ethical concerns like academic integrity and copyright. This framework empowers institutions to adopt AI in ways that are ethical, transparent, and aligned with educational goals, preparing both educators and students to thrive in an AI-driven future.