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Title

Ethical and Legal Challenges in Relationship to AI-Driven Practices in Higher Education

About the project

Recent developments have suggested ways of using AI to understand better and optimize student learning, ensure improvements in educational quality, and boost retention rates.

While these unprecedented technical and research developments promise to unlock the black box of student learning and to inform educational institutions about the complexities of educational processes, the use of student data and analytics techniques raises a series of issues that require ethical and legal considerations. However, there is currently little understanding of ethics in relation to deploying AI in the education sector. This is partly due to the scant attention that ethical concerns have received compared to the increased efficiency and cost-effectiveness of such systems.

This project addresses fundamental ethical and legal challenges that AI technologies bring to learning and teaching in higher education. It will contribute knowledge about how to conceptually and empirically approach these challenges, but most importantly, how to deal with ethical issues in practice.

Grounded in post-phenomenological investigations of human-technology relations, this project will contribute to a relational, dynamic, and situated understanding of ethics in everyday education. Bringing together direct and indirect educational stakeholders, the project aims to raise awareness towards responsible use of AI by setting up the Swedish Ethical Observatory for AI in higher education.

Duration

Start: 1 January 2021
End: 31 December 2024

Project type

MMW

Keywords

Universities and institutes

Stockholm University

Project members

Teresa Cerratto-Pargman

Teresa Cerratto-Pargman

Professor

Stockholm University

Cecilia Magnusson-Sjöberg

Cecilia Magnusson-Sjöberg

Professor

Stockholm University

Cormac McGrath

Cormac McGrath

Associate Professor

Stockholm University

Liane Colonna

Liane Colonna

Assistant Professor

Stockholm University

Alexandra Farazouli

Alexandra Farazouli

PhD student

Stockholm University

Elin Sporrong

Elin Sporrong

PhD student

Stockholm University