Why AI isn't tool calling humans? (www.human-tool-call.com)

A new draft specification titled "Human MCP," proposed by Louis Beaumont, redefines the relationship between AI systems and humans by positioning humans as tools orchestrated by AI. Unlike traditional machine capability protocols that rely on synchronous and deterministic interactions, Human MCP emphasizes asynchronous coordination, acknowledging the unique attributes humans bring, such as physical presence, legal personhood, and subjective judgment. This model envisions AI managing human workers for various tasks, from errands to social interactions, making it easier to integrate human capabilities into AI-driven solutions. The implications of Human MCP for the AI/ML community are significant, as it opens the door for new collaborative workflows where AI handles the majority of cognitive tasks while delegating physical or nuanced interactions to humans. Key features include a framework for task delegation with clear specifications for physical, social, and judgment-related tasks. It raises critical questions regarding trust, accountability, and how to navigate the challenges posed by human unreliability, including reputation management and privacy concerns. This initiative could transform the way AI systems operate, ultimately enhancing their effectiveness in real-world applications by combining the efficiency of AI with the irreplaceable skills of human workers.