糖心Volg

Anna Jobin

photo

 anna.jobin@unifr.ch
 +41 26 300 8470
 

惭补卯迟谤别-补蝉蝉颈蝉迟补苍迟路别
Human-IST - Sciences et Technologies de l'Interaction centr茅e sur l'Humain

PER 21 bu. A408
Bd de P茅rolles 90
1700 Fribourg
PER 21, A408
+41 26 300 8470

Recherche et publications

  • Publications
    29 publications


    Communications (2025) | Article

  • Projets de recherche

    The Human Side of AI: Navigating Expertise in the Era of Large Language Models
    Statut: En cours

    顿茅产耻迟 01.04.2025
    Fin 30.04.2026
    Financement Autre 

    This explorative research investigates how employees make sense of large language models (LLMs) in their daily professional activities. Aiming at contextualizing the use of AI within the current hype, the project researches the role(s) of LLMs the construction, recognition and valuation of expertise through a sociological approach employing qualitative methods. The project will yield empirical insights into how algorithmic expertise and AI are enacted, legitimized, and perceived by workers in organisational settings.

    10002211 - Performing Artificial Intelligence: Governance, Agency, Action鈥揂n Interdisciplinary Inquiry
    Statut: En cours

    顿茅产耻迟 01.03.2025
    Fin 28.02.2029
    Financement FNS 
    Originally grounded in the concept 鈥渢hat 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鈥� (McCarthy et al 1956), Artificial Intelligence (AI) is now a pervasively used 鈥渦mbrella term鈥� (Rip & Vo脽 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 鈥淎I鈥� appears to have become a 鈥渕onster鈥� (Haraway 2013) or a 鈥渉ybrid鈥� (Latour 2012)鈥揳 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 鈥淎I鈥� actually do in specific situations? Performing AI (PAI) takes the perspective that AI is never 鈥渁gentic on its own鈥� (Suchman 2023), 鈥渘ever pure鈥� (Shapin 2010) and 鈥渘ever alone鈥� (Mol 2002). Instead, whatever comes to count as 鈥淎I鈥� is contingent upon specific discursive framings, material agencies and situated uses. Exploring the multi-scalar, hybrid registers of 鈥淎I in action,鈥� PAI is an interdisciplinary inquiry into AI through the concepts of performance and performativity. Performativity 鈥渟hifts the focus from questions of correspondence between descriptions and reality [...] to matters of practices/doings/actions鈥� (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 鈥渢he flux of real activity鈥� (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.

    Navigating the Media as Early Career Academics (AcaMedia)
    Statut: Termin茅

    顿茅产耻迟 01.06.2024
    Fin 28.02.2025
    Financement Autre 

Enseignement et cours

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