Michelle Lam

126 Followers
79 Following
7 Posts
PhD student @ Stanford HCI!
social computing, human-centered AI, algorithmic fairness (+ dance, design, doodling!) | she/her
Websitehttp://michelle123lam.github.io
Twitter@michelle123lam
Our tool helped ML practitioners create multiple models for detecting hateful memes in just 30 mins, exploring 130+ concepts. Instead of tunneling on technical details, they focused on user harms to inform their models and identified data representativity & labeling issues.
(5/6)
We introduce model sketching, a technical framework that lets ML practitioners express modeling ideas purely in terms of human-understandable concepts, but brings them to life as functional “sketch” models that they can evaluate and iterate on in early-stage model design.
(3/6)
When building ML models, we often get pulled into technical implementation details rather than deliberating over critical normative questions. What if we could directly articulate the high-level ideas that models ought to reason over? #CHI2023 🧵
(1/6)