1  Introduction

In the last 3 years, the development of generative artificial intelligence (AI) has taken a steep rise. But AI is no new idea. Ever sinds Alan Turing’s seminal lecture on the automatic computing machine (Turing 2004), computer scientists have worked towards the realization of artificial intelligence. Even AI chatbots are not new. In 1966,Joseph Weizenbaum developed the psychotherapist chatbot ELIZA (Weizenbaum 1966). I am not going to give an overview of the history of AI, as others have already created a far better overview than I could ever create - see e.g. this link, Wikipedia or this overview. Bottom line, ever since the development of GitHub Copilot in 2021, the field of generative AI has rapidly become accessible to a broader audience. This development has a direct impact on higher education, as the straightforward access for student and teacher populations to generative AI has the potential to impact education, research and policy. Developments in generative AI also have the means to create new opportunities and - unfortunately - new divides. Therefore I have created this archive to keep track of the developments in generative AI in higher education and to motivate myself to act and respond in a fair way to new developments.

1.1 Aim

The aim of this archive is not to be exhaustive, but rather to provide a structure whereby to categorize past, new and ongoing developments.

1.2 Contributions

I very much welcome contributions to this page. If you have come across a development, policy or study that is not yet included in this archive, please let me know, or rather, add it yourself. Follow the below outline to see how easy it is to propose changes and additions to this archive.

Example change commit and pull request

I do ask you, however, to not generate your contributed text with AI. I prefer this resources to remain a human-curated archive.