Hello Fediverse! 🐘
Excited to announce I am going on the job market this cycle! (industry & academia)
I work on building uncertainty-aware tools and workflows that support capturing and defining socially-constructed concepts at scale.
Here are some examples of my work:
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**Capturing and reducing uncertainty in human judgments**: In Goldilocks, we introduce a novel annotation tool that uses ranges and anchors to capture ambiguity and disagreement separately in scalar rating tasks.
arxiv.org/abs/2108.01799
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In the follow up, Judgment Sieve, we build upon these measurements to show that effective reduction of uncertainty should be targeted to the source.
arxiv.org/abs/2305.01615
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**Defining Socially-Constructed Concepts for AI Alignment**: In Case Law Grounding, we introduce a set of parallel human and AI (via prompting) workflows that uses cases as a medium to define preferences around nuanced socially-constructed concepts.
arxiv.org/abs/2310.07019
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We follow this work up with Case Law for AI policy, where we present a democratic process for constructing a policy for AI based on case law, that aligns behaviors to community preferences.
https://social.cs.washington.edu/case-law-ai-policy/ (Website WIP)
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Case Law for AI Policy - Project Website

I'm currently looking for industry and academia positions. Please reach out if you're hiring! ❤️
https://homes.cs.washington.edu/~cqz/
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Quan Ze Chen - University of Washington

Personal Profile for Quanze Chen

P.S.: I will be attending HCOMP '23 and later the MP2 Workshop at NeurIPS! If you're also going, I'd be happy to catch up in-person!
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