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UID:pretalx-2026-EWQNUU@conferences.acspri.org.au
DTSTART;TZID=AEST:20261126T090000
DTEND;TZID=AEST:20261126T103000
DESCRIPTION:In response to the advances in generative artificial intelligen
 ce (GenAI)\, particularly large language models (LLMs)\, researchers have 
 raised our heads. Some with concern\, others with hope and even excitement
 . Why the concern though? I argue that what this all boils down to is a ma
 tter of identity and epistemic values. LLM use challenges both the collect
 ive and individual identity of qualitative researchers engaged in reflexiv
 e inquiry. Drawing on literature concerning researcher identity\, reflexiv
 ity\, and computer-assisted qualitative data analysis software (CAQDAS)\, 
 I argue that constructive qualitative knowledge production is – and must
  continue to be – grounded in human capacities for interpretation\, subj
 ectivity\, embodiment\, ethical discernment\, and reflexive self-awareness
 . Regardless of whether audience members agree with this argument\, my goa
 l in this presentation is to offer a kind and reflective space in which we
  can consider our own researcher identities and the epistemic values to wh
 ich we hold. Then\, drawing on a dizzying array of scholarship from the pa
 st four years\, I will traverse various tensions and advances in research 
 and discourse concerning how LLMs are informing research practice.
DTSTAMP:20261013T065910Z
LOCATION:Sutherland Room
SUMMARY:Identity work in social science: navigating artificial intelligence
  - Tanisha Jowsey
URL:https://conferences.acspri.org.au/2026/talk/EWQNUU/
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