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Prompt engineering & social justice: what we know so far
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NBPy2025
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Author(s):
Tilde
Location
Reis River Ranch
Date
apr Sun 27
Days Raw Files
Start
16:20
First Raw Start
15:58
Duration
00:25:00
Offset
0:21:15
End
16:45
Last Raw End
16:57
Chapters
00:00
0:01:00
0:20:30
Total cuts_time
23 min.
https://pretalx.northbaypython.org/nbpy-2025/talk/ZEFTCV
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Large language models are only as good as the data we feed into them. Unfortunately, we haven't quite dismantled racism, sexism, and all the other -isms just yet. Generative AI isn't going away, so let's apply 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 this session, we'll will review 5 current research papers straddling the intersection of prompt engineering and social science. We'll also walk through an interactive live demo in Python, showing how to apply this research 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 more equitable world.
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