With the increasing deployment of Artificial Intelligence (AI) in society and the emergence of large language models such as ChatGPT, universities worldwide are confronted with making decisions about using AI and analytics techniques to support student learning.
While the arguments in favor of integrating AI in higher education practices are built on a series of technical and politically speculative promises, using AI in universities raises a series of ethical and moral issues for practitioners in education. Some of these issues take aim at ethical-legal considerations of how student data is collected, by whom, and how higher education institutions use data. Other issues are grounded in more complex normative questions related to the morality of optimizing student learning with unprecedented emerging technologies.
Inspired by post-phenomenological approaches in philosophy and ethics of technology, this talk introduces research and development of AI and learning analytics systems for higher education. It discusses the opportunities and concerns that arise when unprecedented socio-technical phenomena become part of teacher-student relationships.
Professor of Human-computer interaction at Stockholm University