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XAgen: An Explainability Tool for Identifying and Correcting Failures in Multi-Agent Workflows
Xinru Wang, Ming Yin, Eunyee Koh +1
As multi-agent systems powered by Large Language Models (LLMs) are increasingly adopted in real-world workflows, users with diverse technical backgrounds are now building and refin…
Understanding the Effects of AI-Assisted Critical Thinking on Human-AI Decision Making
Harry Yizhou Tian, Hasan Amin, Ming Yin
Despite the growing prevalence of human-AI decision making, the human-AI team's decision performance often remains suboptimal, partially due to insufficient examination of humans'…
Towards Human-AI Deliberation: Design and Evaluation of LLM-Empowered Deliberative AI for AI-Assisted Decision-Making
Shuai Ma, Qiaoyi Chen, Xinru Wang +4
In AI-assisted decision-making, humans often passively review AI's suggestion and decide whether to accept or reject it as a whole. In such a paradigm, humans are found to rarely t…
From Text to Trust: Empowering AI-assisted Decision Making with Adaptive LLM-powered Analysis
Zhuoyan Li, Hangxiao Zhu, Zhuoran Lu +2
AI-assisted decision making becomes increasingly prevalent, yet individuals often fail to utilize AI-based decision aids appropriately especially when the AI explanations are absen…
Utilizing Human Behavior Modeling to Manipulate Explanations in AI-Assisted Decision Making: The Good, the Bad, and the Scary
Zhuoyan Li, Ming Yin
Recent advances in AI models have increased the integration of AI-based decision aids into the human decision making process. To fully unlock the potential of AI-assisted decision…