This paper introduces Vichara, a novel AI framework for predicting and explaining appellate judgments in the Indian judicial system. It utilizes decision point extraction and a structured explanation format to enhance accuracy and interpretability for legal professionals.

AI systems pose challenges for quality assessment due to their probabilistic nature. This paper introduces the Statistical Confidence in Functional Correctness (SCFC) approach, a robust method that integrates statistical sampling and inference with capability analysis to evaluate AI functional correctness and quantify associated risks.

This paper discusses the challenges and opportunities for statistics education in adapting to a rapidly evolving technological landscape. It explores the integration of modern programming languages, data practices, machine learning, and artificial intelligence, including generative AI, into university curricula.

This paper introduces FR-GESTURE, a novel RGBD dataset for gesture-based control of Unmanned Ground Vehicles (UGVs) by First Responders (FRs). It defines 12 specific gestures inspired by existing FR signals and tactical hand signals, collected to facilitate more intuitive human-robot interaction in disaster scenarios.

The paper presents a community vision for integrating Artificial Intelligence across the entire experimental lifecycle in particle physics to accelerate discovery. It outlines grand challenges and proposes a national-scale collaboration to enable transformative breakthroughs and secure U.S. leadership in AI-powered fundamental science.