Sign in

Harry Cheon

@scheon.com
338 followers 32 following 7 posts

"Seung Hyun" | MS CS & BS Applied Math @UCSD 🌊 | LPCUWC 18' 🇭🇰 | AI Evaluation, Safety, Alignment | 🇰🇷 harry.scheon.com

PostsRepliesMedia
Harry Cheon @scheon.com · 24/04/2025
Current approaches are unable to inform consumers when: 1. features are not responsive 2. features are not monotonically responsive (e.g., can't increase income "too much") 3. features must change in counterintuitive ways (e.g., decrease income) to obtain the desired prediction
121
Harry Cheon @scheon.com · 24/04/2025
But, SHAP highlights features that are: 1. Immutable: HistoryOfLatePayment 2. Mutable but not actionable: Age, NumberOfDependents 3. Actionable but not responsive: CreditUtilization
121
Harry Cheon @scheon.com · 24/04/2025
Hence, we designed responsiveness scores to highlight features that are actionable and responsive (i.e., lead to desired prediction when changed)
121
Harry Cheon @scheon.com · 24/04/2025
Denied a loan, an interview, or an insurance claim by machine learning models? You may be entitled to a list of reasons. In our latest w @anniewernerfelt.bsky.social @berkustun.bsky.social @friedler.net, we show how existing explanation frameworks fail and present an alternative for recourse
1157