Societal_Implications

Modern Day Oracles or Bullshit Machines? is a resource developed by Biology Professor Carl T. Bergstrom and Information Science Professor Jevin D. West that are known from e.g. their prior work Calling Bullshit (Data Reasoning in a Digital Age). The site presents resources that can be helpful in teaching or in reflecting on own use of Generative AI tools. In their own words: “This is not a how-to course for using generative AI. It’s a when-to course, and perhaps more importantly a why-not-to course.” ...

The paper “Teaching and testing in the era of text-generative AI: exploring the needs of students and teachers” by Jochim and Lenz-Kesekamp (2025) [1] offer a framework to characterize the use and domestication of Generative AI based on general Domestication Theory [2,3]. The framework may be helpful when assessing the use of Generative AI in courses, teaching, research, administration and related areas. The 4 identified levels are: Familiarisation or Appropriation : Learning about and experimenting with Generative AI in a number of different contexts Objectification: Integrating Generative AI routines into e.g. studying or teaching Incorporation: Use of Generative AI becomes systematic, structured and thought-out in academic work on a regular basis Conversion: Generative AI changes the academic culture These levels bear some resemblance with other models, like the Capability Maturity Model or the Temporality of Experience [4]. ...

An database of public sector use of AI has recently been published (in Danish) at offentlig-ai.dk. This may of course be helpful to understand the pick-up of Generative AI tools elsewhere in the public sector, but the resource also provides an overview of AI related research projects in Denmark, related news and report, podcasts, etc. It is possible to add new projects through a form.