I participated in the 3-day conference “Generative Methods — AI as Collaborator and Companion in the Social Sciences and Humanities” held at Aalborg University in Copenhagen, which aimed to explore the multifaceted impact of generative AI as both instruments and objects of research.
The AI Methodology Map is available at this link: https://genmap.designingwithai.ch/conference. This project contribution, the map itself, is a pedagogical device designed to structure, visually represent, and explore GenTools for digital methods-led research. Or, if you wish, let’s call it the act of repurposing generative methods for media research. This research is part of the project “Designing With“* and involves collaboration with co-authors from interdisciplinary backgrounds, including Massimo Botta, Antonella Autuori, Matteo Subet, and Ginevra Terenghi from the University of Applied Sciences and Arts of Southern Switzerland (SUPSI), and Eduardo Leite from NOVA University Lisbon.
In this presentation, I introduced the map, outlining its methods, components, and interactive teaching resources. I also illustrated how the map bridges concepts such as technicity and generative AI, demonstrating its practical applications by operationalising five educational entry points within the map: 1) the nature of the generative methods under experimentation; 2) inputs or outputs of generative methods; 3) data practices and 4) documentation; and 5) the technicity of generative AI. To conclude, I showcased the workflow of the AI Methodology Map, providing insight into its application through a case study on algorithmic race stereotypes using network vision methods.
To read the abstract or the songified abstract transformed by generative AI methods, visit this link: https://aau-generative-methods.vercel.app/. Below, you can explore the presentations and discover the authors who participated in the ‘Seeing Like a Model’ section, along with the complete conference program, by visiting this link: https://www.en.ssh.aau.dk/conference-generative-methods-e78062#ee4d31a4-d59b-44e6-9b35-88bf6bdbfe5d
| Section: SEEING LIKE A MODEL: REPURPOSING AND OFF-LABEL USEChair: Kristine Bundgaard I Room 3.084a |
| AI Methodology Map. Bridging Concepts, Technicity, and Applications Janna Joceli Omena & Eduardo Leite, University of Warwick; NOVA University Lisbon; Massimo Botta, Antonella Autuori, Matteo Subet & Ginevra Terenghi, University of Applied Sciences and Arts of Southern Switzerland (SUPSI) |
| Generative controversy mapping? Lessons from digital methods Anders Kristian Munk, University of Aalborg |
| Prompt Compass: A Methodological Approach to Evaluating the Use of Large Language Models in SSH research Erik Borra, University of Amsterdam |
| Exploring LLM self-consistency as confidence to build digital methods tools Mathieu Jacomy, Aalborg University; Emillie de Keulenaar, University of Groningen; Erik Borra, UvA; Andrea Benedetti, Politecnico di Milano; Bernhard Rieder, UvA; Jelke Bloem,UvA; Sarah Burkhardt, UvA |
| A Feeling for the (Neural) Organism: What’s so Statistical AboutGenerative LLMs? Michael Castelle, University of Warwick |
*Designing With. A New Educational Module to Integrate ML, AI, and DV in Design Curricula, 2022-2024. Project Partners: SUPSI (project coordination), EPFL and NOVA. © 2022. This project is licensed under CC BY 4.0. Supported by Movetia. This project is financially supported by Movetia. Movetia promotes exchange, mobility and cooperation within the fields of education, training and youth work – in Switzerland, Europe and worldwide. www.movetia.ch
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