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 🗺️

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/

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

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...