130 citations · 306 across the 10 of their papers we have counts for
7 papers · 1 filter
Just-In-Time Objectives: A General Approach for Specialized AI Interactions
Michelle S. Lam, Omar Shaikh, Hallie Xu +5
Large language models promise a broad set of functions, but when not given a specific objective, they default to generic results. We demonstrate that inferring the user's in-the-mo…
Concept Induction: Analyzing Unstructured Text with High-Level Concepts Using LLooM
Michelle S. Lam, Janice Teoh, James Landay +2
Data analysts have long sought to turn unstructured text data into meaningful concepts. Though common, topic modeling and clustering focus on lower-level keywords and require signi…
Sociotechnical Audits: Broadening the Algorithm Auditing Lens to Investigate Targeted Advertising
Michelle S. Lam, Ayush Pandit, Colin H. Kalicki +3
Algorithm audits are powerful tools for studying black-box systems. While very effective in examining technical components, the method stops short of a sociotechnical frame, which…
Embedding Democratic Values into Social Media AIs via Societal Objective Functions
Chenyan Jia, Michelle S. Lam, Minh Chau Mai +2
Can we design artificial intelligence (AI) systems that rank our social media feeds to consider democratic values such as mitigating partisan animosity as part of their objective f…
Model Sketching: Centering Concepts in Early-Stage Machine Learning Model Design
Michelle S. Lam, Zixian Ma, Anne Li +4
Machine learning practitioners often end up tunneling on low-level technical details like model architectures and performance metrics. Could early model development instead focus o…
Jury Learning: Integrating Dissenting Voices into Machine Learning Models
Mitchell L. Gordon, Michelle S. Lam, Joon Sung Park +4
Whose labels should a machine learning (ML) algorithm learn to emulate? For ML tasks ranging from online comment toxicity to misinformation detection to medical diagnosis, differen…
Atelier: Repurposing Expert Crowdsourcing Tasks as Micro-internships
Ryo Suzuki, Niloufar Salehi, Michelle S. Lam +2
Expert crowdsourcing marketplaces have untapped potential to empower workers' career and skill development. Currently, many workers cannot afford to invest the time and sacrifice t…