Anna Jobin
anna.jobin@unifr.ch
+41 26 300 8470
0041 26 300 84 70
https://orcid.org/0000-0002-4649-7812
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Maître-assistant·e,
Human-IST - Sciences et Technologies de l'Interaction centrée sur l'Humain
PER 21 bu. A408
Bd de Pérolles 90
1700 Fribourg -
Maître-assistant·e,
Département d'informatique
PER 21 bu. A408
Bd de Pérolles 90
1700 Fribourg
Recherche et publications
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Publications
31 publications
Situating AI policy: Controversies covered and the normalisation of AI
Licinia Güttel, Christian Katzenbach, Laura Liebig, Anna Jobin, Big Data & Society (2024) | ArticleDigitalwirtschaft: Technische, wirtschaftliche und gesellschaftliche Grundlagen
Lukas Staffler, Bernd Ebersberg, Anna Jobin (Springer Fachmedien Wiesbaden, 2024), ISBN: 9783658457235 | LivreSubnational AI policy: shaping AI in a multi-level governance system
Laura Liebig, Licinia Güttel, Anna Jobin, Christian Katzenbach, AI & SOCIETY (2024) | ArticleBan, use, or cite Generative AI?
International Association of Universities (2024) | ArticleBan, use, or cite Generative AI?
International Association of Universities (2024) | ArticleGerman AI Policy Dataset
Davide Valenti, Christian Katzenbach, Oke Seliger, Laura Liebig, Licinia Güttel, Anna Jobin, (2024) | Data set -
Projets de recherche
10002211 - Performing Artificial Intelligence: Governance, Agency, Action–An Interdisciplinary Inquiry
Statut: En coursDébut 01.03.2025 Fin 28.02.2029 Financement FNS Voir la fiche du projet Originally grounded in the concept “that every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it” (McCarthy et al 1956), Artificial Intelligence (AI) is now a pervasively used “umbrella term” (Rip & Voß 2019) that mediates between science and society. Co-produced at the intersection of the social and technical (Lindgren 2023; Holton & Boyd 2021; Roberge & Castelle 2021; Jobin & Katzenbach 2023), the entity labeled “AI” appears to have become a “monster” (Haraway 2013) or a “hybrid” (Latour 2012)–a bizarre mix of nature and culture, technology and society. Yet, what has been largely missing from the growing flood of literature, technologies, discourses and social-technical objects is a sustained focus on and differentiated answer to a simple question: What does this thing labeled “AI” actually do in specific situations? Performing AI (PAI) takes the perspective that AI is never “agentic on its own” (Suchman 2023), “never pure” (Shapin 2010) and “never alone” (Mol 2002). Instead, whatever comes to count as “AI” is contingent upon specific discursive framings, material agencies and situated uses. Exploring the multi-scalar, hybrid registers of “AI in action,” PAI is an interdisciplinary inquiry into AI through the concepts of performance and performativity. Performativity “shifts the focus from questions of correspondence between descriptions and reality [...] to matters of practices/doings/actions” (Barad 2003). In particular, PAI explores three aspects of AI-based performance: 1) as descriptions and models that not only describe the world but enact it (Austin 1975; Barad 2007; Callon 2007; Cossette & Salter 2024); 2) as material agencies that are temporally enacted by human and nonhuman actants (Latour 1996); and 3) as situated action where human-technical action arises in “the flux of real activity” (Suchman 2007; Nardi 1996). Bringing together policy discourse analysis, experimental design research and multi-sited video ethnography, the rationale for PAI is three-fold: conceptual, empirical and oriented towards renewed public engagement. It is an attempt to grasp AI from a multi-perspectival lens that unites the social, natural and human sciences with the digital arts, understanding AI as a cultural object which is contested, contingent and dynamic.