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The agent is receiving the interoperability steam, but the organizations continue the proposal for the new interoperability protocol as the industry continues to find out which standards to adopt.
A group of researchers from Carnegie melon university Proposed a new interoperability protocol controlling autonomous AI agents, controlling accountability and morality. Lightened orchestration for knowledgeable agents, or loka, may include other proposed standards such as AGENT2AGENT (A2A) and model reference protocol (MCP).
One in paperResearchers said that the rise of AI agents underlines the importance of controlling them.
Researchers wrote, “As their appearance expands, the need for a standardized structure to control their interaction becomes paramount.” “Despite their increasing omnipresent, AI agents often work within silence systems, lack of a common protocol for communication, moral logic, and court rules. This fragmentation creates significant risks, such as inter -related issues, moral migrant and accountable intervals.”
To address this, they propose the open-source Loka, which will enable agents to prove their identity, “the semantic rich, morally annotated messages,” add accountability, and establish moral rule in the agent’s decision-making process.
Loca is based on what researchers have referred to as a universal agent identification layer, a structure that gives agents a unique and verificationable identity.
“We imagine Loca as a fundamental architecture and is a call to re -define the main elements, intentions, intentions, faith and moral consent – which should underline agent interactions. As the scope of AI agents expands, it is important to assess whether our current infrastructure can facilitate” Said that a researcher said.
Loca layers
Loca acts as a layered stack. The first stack revolves around the identity, what is the agent. This includes a decentralized identifier, or a “unique, cryptographic verification ID”. This will allow users and other agents to verify the identity of the agent.
The next layer is the communication layer, where the agent informs another agent of its intentions and needs to work to complete it. This is followed by morality later and the security layer.
Loca’s layer of morality explains how the agent behaves. It includes “a flexible yet strong moral decision-making structure that allows agents to be compatible with different moral standards depending on the context in which they operate.” The LOKA protocol appoints a collective decision -making model, allowing agents within the framework to determine their next stages and assess whether these stages align with moral and responsible AI standards.
Meanwhile, the security layer is used what researchers describe as “quantum-flexible cryptography”.
What separates luke
Researchers stated that Loka stands out because it establishes important information for agents to communicate with other agents and to operate autonomally in various systems.
Loca can be helpful for enterprises so that they can ensure the safety of agents deployed in the world and provide an detectable way to understand how the agent takes decisions. One fear is many enterprises that an agent will tap in another system or reach private data and mistake.
Ranjan said that the system “sheds light on the need to define who agents and how they decide and how they are accountable.”
“Our vision is to illuminate the important questions that are often overshraded into the crowd to score AI agents: how do we create ecosystems where these agents can be really trusted, can be held accountable, and diverse systems have morally intercaries?” Ranjan said.
Loca will have to compete with other agents protocols and standards that are now emerging. Protocols like MCP and A2A have found a large audience, not only because of technical solutions they provide, but because these projects are supported by organizations. Anthropic started MCP, while Google takes back A2A, and both protocols open to use many companies – and improvement – these standards have improved.
Loca operates independently, but Ranjan said that he had received “very encouraging and exciting response” from other researchers and other institutions to expand the LOKA research project.
