iiinova — where your digital self keeps evolving

Reposted by Michelle Lam

Michael Bernstein @mbernst.bsky.social · 03/12/2025

CSCW folks, I wanted to highlight how excited and proud I am to see work from our community (dl.acm.org/doi/10.1145/..., CSCW '24 best paper winner led by @jiachenyan.bsky.social and @mlam.bsky.social) grow and expand ambition into this Science paper. CSCW has a ton to offer the world.

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Reposted by Michelle Lam

Kaitlyn Zhou @kaitlynzhou.bsky.social · 21/10/2025

As of June 2025, 66% of Americans have never used ChatGPT. Our new position paper, Attention to Non-Adopters, explores why this matters: AI research is being shaped around adopters—leaving non-adopters’ needs, and key LLM research opportunities, behind. arxiv.org/abs/2510.15951

A circular flow diagram that compares current and proposed practices for LLM development using data from adopters and non-adopters. Three gray boxes represent current practices: “R&D,” “Chat Models,” and “Adopters’ Needs and Usage Data,” connected in a clockwise loop with black arrows. A blue box labeled “Non-adopters’ Needs and Usage Data” adds a proposed feedback path, shown with blue arrows, linking non-adopter data back to R&D and adopters’ data.

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Michelle Lam @mlam.bsky.social · 29/09/2025

LLM safety work often reasons over high-level policies (be helpful & polite), but must tackle on-the-ground cases (unsolicited money advice when stocks are mentioned). This can feel like driving on an unfamiliar road guided by a generic driver’s manual instead of a map. We introduce: Policy Maps 🗺️

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Reposted by Michelle Lam

Maria Antoniak @mariaa.bsky.social · 17/01/2025

Somehow only just became aware of LlooM, a toolkit that uses a combination of clustering and prompts to extract concepts and describe custom datasets — similar to a topic model. Looks nice, with lots of documentation and open colab notebooks! Has anyone used it? stanfordhci.github.io/lloom/about/

stanfordhci.github.io

What is LLooM? | LLooM

Concept Induction: Analyzing Unstructured Text with High-Level Concepts

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Michelle Lam @mlam.bsky.social · 19/12/2024

We're excited to host a second iteration of the HEAL workshop! Join us at CHI 2025 :) → Deadline: Feb 17, more info at heal-workshop.github.io

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Reposted by Michelle Lam

Michael Bernstein @mbernst.bsky.social · 12/11/2024

Wednesday, at CSCW: @mlam.bsky.social and Chenyan Jia present their Best Paper award winner, "Embedding Democratic Values into Social Media AIs via Societal Objective Functions" hai.stanford.edu/news/buildin...

hai.stanford.edu

Building a Social Media Algorithm That Actually Promotes Societal Values

A Stanford research team shows that building democratic values into a feed-ranking algorithm reduces partisan animosity.

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