New approach to agent reliability, AgentSpec, forces agents to follow rules

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More AI agents have a safety and reliability problem. Agents would allow enterprises to automate more steps in their workflows, but they can take unintended actions while executing a task, are not very flexible, and are difficult to control. Organizations have already sounded the alarm about unreliable agents, worried that once deployed, agents might forget to follow instructions. OpenAI even admitted that ensuring agent reliability would involve working with outside developers, so it opened up its Agents SDK to help solve this issue. But researchers from the Singapore Management University (SMU) have developed a new approach to solving agent reliability. AgentSpec is a domain-specific framework that lets users “define structured rules that incorporate triggers, predicates and enforcement mechanisms.” The researchers said AgentSpec will make agents work only wi ... Read full article.