{"ID":2823773,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2602.15831","arxiv_id":"2602.15831","title":"A2H: Agent-to-Human Protocol for AI Agent","abstract":"AI agents are increasingly deployed as autonomous systems capable of planning, tool use, and multi-agent collaboration across complex tasks. However, existing agent-related protocols focus on agent-to-agent interactions, leaving humans as external observers rather than integrated participants within the agent systems. This limitation arises from the lack of a standardized mechanism for agents to discover, address, and interact with humans across heterogeneous messaging platforms. In this paper, we propose the A2H (Agent-to-Human) protocol, a unified protocol that enables humans to be registered, discovered, and communicated with by AI agents as resolvable entities within agent systems. A2H contributes three key components: (1) Human Card for registering human identities via resolvable domain names, making them discoverable to agents; (2) Formal Communication Schema defines when, why, and how agents contact with human;(3) Unified Messaging Abstraction standardizes diverse communication medias and transforms complex JSON outputs into human-friendly formats. This work establishes a foundational protocol for integrating humans into agent ecosystems, advancing AI agents from isolated autonomous systems toward truly human-connected intelligent infrastructures.","short_abstract":"AI agents are increasingly deployed as autonomous systems capable of planning, tool use, and multi-agent collaboration across complex tasks. However, existing agent-related protocols focus on agent-to-agent interactions, leaving humans as external observers rather than integrated participants within the agent systems....","url_abs":"https://arxiv.org/abs/2602.15831","url_pdf":"https://arxiv.org/pdf/2602.15831v1","authors":"[\"Zhiyuan Liang\",\"Enfang Cui\",\"Qian Wei\",\"Rui She\",\"Tianzheng Li\",\"Minxin Guo\",\"Yujun Cheng\"]","published":"2025-12-31T16:24:06Z","proceeding":"cs.HC","tasks":"[\"cs.HC\",\"cs.MA\"]","methods":"[]","has_code":false}