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BEGIN:VEVENT
UID:pretalx-nbpy-2025-ZEFTCV@pretalx.northbaypython.org
DTSTART;TZID=PST:20250427T162000
DTEND;TZID=PST:20250427T164500
DESCRIPTION:Large language models are only as good as the data we feed into
  them. Unfortunately\, we haven't quite dismantled racism\, sexism\, and a
 ll the other -isms just yet. Generative AI isn't going away\, so let's app
 ly a harm reduction lens. Given the imperfect tools that we have\, how can
  we write LLM prompts that are less likely to reflect our own biases? In t
 his session\, we'll will review 5 current research papers straddling the i
 ntersection of prompt engineering and social science. We'll also walk thro
 ugh an interactive live demo in Python\, showing how to apply this researc
 h to real world problems. You'll leave with some ideas about how you\, as 
 users and builders of generative AI applications\, can iterate towards a m
 ore equitable world.
DTSTAMP:20261006T023106Z
LOCATION:Barn
SUMMARY:Prompt engineering & social justice: what we know so far - Tilde
URL:https://pretalx.northbaypython.org/nbpy-2025/talk/ZEFTCV/
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