Researchers have unveiled Pairit, a programmable platform for running live experiments in which human participants and AI systems coordinate, delegate tasks, and make decisions together. The tool is aimed at studying organizational design questions as AI becomes part of real-time group work, supporting sessions that mix human-to-human and human-AI interaction.
A new arXiv paper investigates how emergency departments screen patient return visits for quality assurance, a task often narrowed to 48-72 hour windows to boost actionable findings while limiting chart review workload. The research examines how humans make these screening decisions and how artificial intelligence could assist the process.
A new arXiv paper introduces AI Soccer Analyst, a system designed to help sports analysts work with soccer data through a stage-aware, verifiable human-AI collaboration workflow. The authors argue that while large language models make programming easier for analysts, prompt-to-report pipelines can hide the reasoning steps and supporting evidence behind conclusions. Their approach aims to keep the analysis process transparent and checkable by structuring collaboration around distinct stages.
Researchers have released MOSAIC, an open-source platform that allows AI agents built on different decision-making paradigms to operate side by side in the same environment. A unified agent-level interface supports both cross-paradigm agent mixing and human-AI collaboration. The design also makes it possible to compare different agent paradigms fairly under identical conditions, something existing infrastructure could not do.