Evaluation schema and handbook for AI in education on data, privacy, ethics, and EU values (WP5)
AI Pioneers > Evaluation schema and handbook for AI in education on data, privacy, ethics, and EU values (WP5)
Evaluation Schema
The evaluation schema is 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.
The Handbook on Policy and Ethics in AI Education serves as a foundational resource for educators, policymakers, and institutions aiming to navigate the complexities of AI in educational settings. It helps create a framework that can ensure ethical considerations are front and centre, protecting students’ privacy, promoting fairness, and encouraging responsible usage.
It provides actionable guidance for educators on how to use AI responsibly, and how to help students understand its capabilities, limitations, and ethical implications. This will be critical in fostering a generation of learners who are not only tech-savvy, but also ethically aware when engaging with technology. For policymakers, the consistent framework that the handbook offers guides users to more standardised approaches across institutions, which is essential in mitigating the risks of AI, such as biases in algorithms or violations of privacy. It can also help ensure that AI isn’t just integrated for its own sake but rather in a way that enhances the educational experience without compromising ethical standards.
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.
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Evaluation Schema
The evaluation schema is 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.
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Handbook
The Handbook on Policy and Ethics in AI Education serves as a foundational resource for educators, policymakers, and institutions aiming to navigate the complexities of AI in educational settings. It helps create a framework that can ensure ethical considerations are front and centre, protecting students’ privacy, promoting fairness, and encouraging responsible usage.
It provides actionable guidance for educators on how to use AI responsibly, and how to help students understand its capabilities, limitations, and ethical implications. This will be critical in fostering a generation of learners who are not only tech-savvy, but also ethically aware when engaging with technology. For policymakers, the consistent framework that the handbook offers guides users to more standardised approaches across institutions, which is essential in mitigating the risks of AI, such as biases in algorithms or violations of privacy. It can also help ensure that AI isn’t just integrated for its own sake but rather in a way that enhances the educational experience without compromising ethical standards.