Towards Human-AI Deliberation: Design and Evaluation of LLM-Empowered Deliberative AI for AI-Assisted Decision-Making

no code implementations • 25 Mar 2024 • Shuai Ma, Qiaoyi Chen, Xinru Wang, Chengbo Zheng, Zhenhui Peng, Ming Yin, Xiaojuan Ma

In AI-assisted decision-making, humans often passively review AI's suggestion and decide whether to accept or reject it as a whole.

Decision Making

Beyond Recommender: An Exploratory Study of the Effects of Different AI Roles in AI-Assisted Decision Making

no code implementations • 4 Mar 2024 • Shuai Ma, Chenyi Zhang, Xinru Wang, Xiaojuan Ma, Ming Yin

Artificial Intelligence (AI) is increasingly employed in various decision-making tasks, typically as a Recommender, providing recommendations that the AI deems correct.

Decision Making

Federated and distributed learning applications for electronic health records and structured medical data: A scoping review

no code implementations • 14 Apr 2023 • Siqi Li, Pinyan Liu, Gustavo G. Nascimento, Xinru Wang, Fabio Renato Manzolli Leite, Bibhas Chakraborty, Chuan Hong, Yilin Ning, Feng Xie, Zhen Ling Teo, Daniel Shu Wei Ting, Hamed Haddadi, Marcus Eng Hock Ong, Marco Aurélio Peres, Nan Liu

Structured data, one of the most prevalent forms of clinical data, has experienced significant growth in volume concurrently, notably with the widespread adoption of electronic health records in clinical practice.

Distributed Computing Federated Learning +1

Who Should I Trust: AI or Myself? Leveraging Human and AI Correctness Likelihood to Promote Appropriate Trust in AI-Assisted Decision-Making

no code implementations • 14 Jan 2023 • Shuai Ma, Ying Lei, Xinru Wang, Chengbo Zheng, Chuhan Shi, Ming Yin, Xiaojuan Ma

To mitigate this gap, we proposed to promote humans' appropriate trust based on the CL of both sides at a task-instance level.

Decision Making