The Human-Centered AI division aims to develop leading-edge AI applications and systems while recognizing that people are core to the future of how AI is designed, built, deployed, and used. The division’s interdisciplinary team of scientists, designers, and engineers develop and assess the latest advances in machine learning, symbolic AI, and human-machine interactions to solve deeply challenging scientific and operational problems. We are widely published and serve as a world leader in probabilistic programming (PP) and machine learning, including two open source PP frameworks (Figaro™ and Scruff™) as well as Overmind, our reinforcement learning framework. Our organization is especially interested in pushing next generation hybrid-AI, which combines the best of symbolic, probabilistic, and deep learning technology.
A core tenet of our work is to understand how AI and people interact, particularly in topics such as explainable AI, where normally opaque deep learning algorithms are explained, making them understandable. This also includes concepts like Inverse Cognition, which predicts cognitive states and behavior choices from observations of communications and actions. We are developers of KWYN™, our platform for intelligent, adaptive training and operations that encompasses using AI technologies and visualizations to train, optimize human performance, and provide just-in-time guidance for operators across multiple domains such as medical, maintenance, and intelligence. Our work extends to cyber security (such as Odineye™), artificial social intelligence, predictive health maintenance, swarm robotics, and natural language processing (SFG Toolkit)—applying our human-centered AI technology to critical problems.