Human Autonomy Coexistence

Human-autonomy coexistence research focuses on enabling safe and efficient interaction between humans and autonomous systems, addressing challenges in areas like transportation, AI alignment, and resource allocation. Current efforts involve developing models and algorithms, such as generative adversarial networks for improved spectrum sharing and reinforcement learning for optimizing resource allocation in mixed human-AI environments, to manage these interactions. This research is crucial for the responsible deployment of autonomous technologies, impacting fields ranging from urban planning and industrial automation to the fundamental understanding of human-machine trust and collaboration.