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SUMMARY:Feminist Epistemologies and Trusting Chatbots - Alicia Patterson\,
  Libby Southgate
DTSTART;TZID=US/Central:20260715T103000
DTEND;TZID=US/Central:20260715T110000
DTSTAMP:20260726T090853Z
UID:pretalx-iacap-2026-KKGGCY@pretalx.iacapconf.org
DESCRIPTION:Generative AI\, especially chatbots\, are being incorporated i
 nto many epistemic domains such as schooling and research. Indeed\, Ramón
  Alvarado (2023) argues artificial intelligence should be understood as an
  epistemic technology. In many of these domains\, we’re being asked to e
 xtend a kind of epistemic trust to generative AI chatbots.\n\nHow\, then\,
  should we think about trust from a feminist perspective when it comes to 
 chatbots? Drawing on feminist epistemologies\, we first turn to the litera
 ture for a richer account of competence which takes seriously the ways in 
 which who one is can affect the knowledge that one has\, and thus offer to
  others. Knowers are fundamentally situated and one’s situatedness affec
 ts one’s contextually-specific epistemic trustworthiness. We need to jud
 ge if a person is well-placed to draw accurate conclusions in this context
 \; we need to know what concepts they work with\, the biases they have\, t
 heir interpretation of the background information\, and their projectabili
 ty judgements. We argue there are systematic challenges in making these ki
 nds of trust judgements because of the barriers to assessing the epistemic
  positioning of a chatbot. Our analysis has practical implications for how
  and where we use chatbots.
LOCATION:Apollo Auditorium
URL:https://pretalx.iacapconf.org/iacap-2026/talk/KKGGCY/
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