AI_Anxiety [electronic resource].
Institute of Network Cultures 2025
Open access content
In 2025, there is no shortage of research projects about AI. Spanning different disciplines, countries, and domains, AI research, whatever one means by it, is on the rise. Besides more technically minded fields, social sciences, humanities, and the arts are also part of this conversation, as evidenced by an ever-expanding list of research projects and exhibitions on AI in these areas. If you are also an early career researcher in these fields, doing a project on AI, you may, perhaps, resonate with our sense of anxiety. It is a feeling of trouble, unsettledness, an itchy sensation that your topic is too topical. Amongst the multitude of events, publications, and discussions, one can only wonder: How did so many of us end up doing research on AI? What are we actually doing? What does our research do in the world? For whom our research is intended? And can we do it differently? There is indubitably nothing new about this congruence between a technology that captured public interest and funding streams, changing academic interests, and institutional incentives. Yet, being researchers in the social sciences and humanities, we see the need to understand how the current moment of the “AI boom” shapes our practices of producing knowledge about the subject and engaging with it outside academia. Since there is no single, unquestionable way to do research about anything, it makes sense to pause and think about how we do it. To think about this, we might have as well written a paper. Yet, we decided not to do it; there are already good works out there on this (see our Reading List), but also not everything we do in academia has to be necessarily a paper. Instead, we thought we needed a community-based reflection format about how we are implicated in the current AI (research) landscape. So, we gathered people. This zine published by the Institute of Network Cultures is the result of a collage-making workshop held on October 1st, 2024 in Amsterdam organized with the support of th
https://www.librarystack.org/ai_anxiety/?ref=unknown
Artificial intelligence
Sociology
Text
Jordi Viader Guerrero
Dmitry Muravyov
Erica Gargaglione
Aarón Moreno Inglés
Mariana Fernández Mora
Orestis Kollyris
Ali Alkhatib
Marcela Suárez
Eke Rebergen
Daniel Leix Palumbo
Alexandra Barancová
Jef Ausloos
Oksana Dorofeeva
Rasa Bocyte
Nic Orchard
Ruben van de Ven
Donald Jay Bertulfo
Michaël Grauwde
Ildikó Plájás
Marlon Kruizinga
Caitlin van Bommel
Inte Gloerich
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