68 citations · 117 across the 11 of their papers we have counts for
5 papers · 1 filter
RuleEdit: Failure-Guided Human-AI Model Editing with Prospective Impact Preview
Min Hun Lee, Justin Yu Feng Teo
Despite the promise of AI to assist complex decisions, practitioners still lack ways to detect likely failures and inspect the consequences of model edits before committing them. W…
From Accuracy to Readiness: Metrics and Benchmarks for Human-AI Decision-Making
Min Hun Lee
Artificial intelligence (AI) systems are deployed as collaborators in human decision-making. Yet, evaluation practices focus primarily on model accuracy rather than whether human-A…
Towards Uncertainty Aware Task Delegation and Human-AI Collaborative Decision-Making
Min Hun Lee, Martyn Zhe Yu Tok
Despite the growing promise of artificial intelligence (AI) in supporting decision-making across domains, fostering appropriate human reliance on AI remains a critical challenge. I…
Improving Health Professionals' Onboarding with AI and XAI for Trustworthy Human-AI Collaborative Decision Making
Min Hun Lee, Silvana Xin Yi Choo, Shamala D/O Thilarajah
With advanced AI/ML, there has been growing research on explainable AI (XAI) and studies on how humans interact with AI and XAI for effective human-AI collaborative decision-making…
Understanding the Effect of Counterfactual Explanations on Trust and Reliance on AI for Human-AI Collaborative Clinical Decision Making
Min Hun Lee, Chong Jun Chew
Artificial intelligence (AI) is increasingly being considered to assist human decision-making in high-stake domains (e.g. health). However, researchers have discussed an issue that…