[Air-L] PhD position in ‘AI and Meaning-Making’ (Media Studies, University of Amsterdam)
Stefania Milan
lists at stefaniamilan.net
Fri Oct 18 05:42:33 PDT 2024
posting for my awesome colleague Davide Beraldo: we are hiring!
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Dear all,
I would like to bring your attention to an open PhD position on 'AI and
Meaning-Making' at the Institute for Logic, Language and Computation
(ILLC), University of Amsterdam. YOu would be based at the awesome
Department of Media Studies. The application deadline is*20 November*.
For more information, please checkhere
<https://vacatures.uva.nl/UvA/job/PhD-Position-in-AI-and-Meaning-Making/804894302/>or
see the extract below.
Best,
Davide Beraldo (Media Studies, University of Amsterdam)
__________________________________*
*
*PhD position in ‘AI and Meaning-Making’*
This PhD project seeks to explore the issue of meaning(-making) in
relation to AI from perspectives that emphasize its relational,
processual, and reflexive nature—drawing inspiration from
ethnomethodology, but also open to other approaches such as
socio-semiotics and systems theory. The project combines theoretical
development with empirical investigation of encounters between humans
and LLMs, or other instances of conversational/social AI. The
overarching goal is to contribute to the respecification of the debate
on the boundaries between the human and the artificial, grounded in
theoretical reflexivity and methodological rigor.
Candidates can develop studies of their own choosing within the broader
scope of the project. We welcome research ideas that combine ambitious
theoretical development with empirical research; the latter based on a
number of methods including observational studies, conversation
analysis, (quasi-)experiments, or computational methods. We invite
interested candidates to prepare short proposals (details below)
inspired by, but not limited to, the following themes:
• humans making sense of/to/with AI;
• AI making sense of/to/with humans;
• AI and nonsense/absurdism/ambiguity;
• misunderstandings between humans and AI;
• taken-for-granted/common sense knowledge of AI;
• reflexivity and indexicality in AI;
• machine-machine interaction;
• situatedness of AI development and/or adoption;
• in/commensurability between human and artificial meaning-making
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