iiinova — where your digital self keeps evolving

Reposted by Quan Ze Chen

Amy Zhang @axz.bsky.social · 24/06/2025

This upcoming #FAccT2025 paper was w/ an amazing duo of undergrads @andreiskiii.bsky.social @andrewshawuw.bsky.social & deeply fuses philosophy with human-AI interaction design. "Unsettling the hegemony of intention" indeed! 😛 It also won the undergrad thesis award at UW 🏅 arxiv.org/abs/2502.15242

arxiv.org

Agonistic Image Generation: Unsettling the Hegemony of Intention

Current image generation paradigms prioritize actualizing user intention - "see what you intend" - but often neglect the sociopolitical dimensions of this process. However, it is increasingly evident ...

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Reposted by Quan Ze Chen

Leijie Wang @leijiew.bsky.social · 25/03/2025

Can LLM prompting help social media users create and iterate on their content filters more easily? In our #CHI2025 paper, we compared in an experiment three authoring strategies: 🤖 Prompting LLM 🔎 Labeling examples for ML classifiers 📐 Authoring keyword rules (🧵1/N)

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Quan Ze Chen @cqz.name · 17/03/2025

In-context learning can be an effective way to conduct value alignment of LLMs through examples, but when there are multiple pluralistic groups, are the best examples for one group also the ones for another? We explore this in our paper 🌟SPICA🌟 (🧵1/9)

Screenshot of the first page of the paper SPICA: Retrieving Scenarios for Pluralistic In-Context Alignment

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Tzu-Sheng Kuo 郭子生 @tskuo.bsky.social · 10/03/2025

How can we help communities collaboratively shape policies that impact them? In our #CHI2025 paper, we present PolicyCraft, a system that supports ✨collaborative policy design✨ through case-grounded deliberation. (🧵/11)

ACM CHI 2025
PolicyCraft: Supporting Collaborative and Participatory Policy Design through Case-Grounded Deliberation
Tzu-Sheng Kuo, Quan Ze Chen, Amy X. Zhang, Jane Hsieh, Haiyi Zhu, Kenneth Holstein

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Reposted by Quan Ze Chen

Amy Zhang @axz.bsky.social · 19/10/2023

Next @cqz.bsky.social gave a talk on Wed on targeted interventions to reduce uncertainty in judgments. Paper here: dl.acm.org/doi/10.1145/... He also discussed how it fits into his broader research trajectory and agenda, as he's headed onto the job market this year!

Jim at the podium next to a slide about his research with an audience in front

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Ben Lee @bcgl.bsky.social · 26/09/2023

Interested in pursuing a Ph.D. at the intersection of computing, cultural heritage, and the digital humanities? I am recruiting Ph.D. students to join the Lab for Computing Cultural Heritage in the University of Washington's Information School! More information here: bcglee.com/lcch.html

bcglee.com

Lab for Computing Cultural Heritage

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Amy Zhang @axz.bsky.social · 15/10/2023

Our lab has three paper talks at CSCW! But I want to highlight this one because @cqz.bsky.social is on the job market this year!! He works in crowdsourcing and human-AI systems. Make sure to check out his presentation on Wednesday. arxiv.org/abs/2305.01615

arxiv.org

Judgment Sieve: Reducing Uncertainty in Group Judgments through...

When groups of people are tasked with making a judgment, the issue of uncertainty often arises. Existing methods to reduce uncertainty typically focus on iteratively improving specificity in the...

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Reposted by Quan Ze Chen

Kyle Lo @ ICML2026 🇰🇷 @kylelo.bsky.social · 06/10/2023

Don't forget to apply by *Oct 15* for AI2 research internships! Interested in language models of science, evaluating AI-generated text, challenging retrieval settings, and human-AI collaborative reading/writing? Come work with meeee! 😸 Learn more: kyleclo.github.io/mentorship

kyleclo.github.io

mentorship | Kyle Lo

Researcher at AI2 in Seattle. NLP + HCAI for scholars and scientists.

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