The Human In The Loop Is Where AI Agents Park The Liability

AI vendors are developing methods to prevent agent mistakes, yet liability for errors is currently being determined by authorities in Washington, Denver, and Brussels. Simultaneously, LangChain Common Expression Language allows for the composition of components into workflows. By treating LLMs, Prompts, and outputs as Runnables, developers can create sequences where JSON data is converted into messages and then parsed into strings. This technical structure supports the integration of Human In The Loop processes within AI workflows.