Prompt engineering & social justice: what we know so far - Tilde (Nbpy2025) @NorthBayPython
Prompt engineering & social justice: what we know so far - Tilde (Nbpy2025)  @NorthBayPython
Uploaded April 2025 | Updated September 2026, 3 days ago
Tilde

pretalx.northbaypython.org/nbpy-2025/talk/ZEFTCV

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.

Sun Apr 27 16:20:00 2025 at Reis River Ranch

Produced by NDV: youtube.com/channel/UCQ7dFBzZGlBvtU2hCecsBBg?sub_confirmation=1
Prompt engineering & social justice: what we know so far - Tilde (Nbpy2025)From FinTech to Fin Tech - Adrianna Tan (Nbpy2025)Disambiguation, In-Jokes, and Name Collisions: What You Need to Know When Naming a Python ProjectNutshell in a Python: Adapting patterns from shell scriptsWhat Not To Document And Why - Margaret Fero (Nbpy2024)Cursed Comedy - Jamie Bliss and Piper Thunstrom - 2026Auditing Your Site for Accessibility: Now What?How Unreliable Computers Can Usually Agree (Sort Of): A Brief Tour of the Raft AlgorithmModern Western Square Dancing: dancing for math nerds - Dan Lyke - 2026Make your code come alive: using interactive Jupyter notebooks outside of the sciencesAn Economy of Empathy - Mario Munoz - 2026Stumbling Through Django and How Not To
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"Prompt engineering & social justice: what we know so far" - Tilde (Nbpy2025)

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