SingularityNET, a crucial founding participant of the Artificial Superintelligence Alliance, has started a strategic collaboration with Privado ID, a decentralized identity framework. The partnership aims to build a “Decentralized AI Agent Trust Registry.” The project focuses on the seamless interaction between the AI systems and humans.
This strategic collaboration leverages the privacy-first and decentralized credentials of Privado ID. Additionally, it also utilizes the AI expertise of SingularityNET as well as its impending confirmable on-chain credentials and attestations for AI agents.
SingularityNET and Privado ID to Develop Decentralized AI Agent Trust Registry
SingularityNET considers its latest partnership with Privado ID to be a noteworthy step to streamline AI Agents’ interaction with humans. Both the entities intend to establish a unique Decentralized AI Agent Trust Registry along with the issuing AI Agent Decentralized Identifiers.
The AI Agent Trust Registry lets developers deploy diverse AI Agents with confirmable attributes and identities. It uses decentralized identifiers coming from Privado ID as well as verifiable credentials that zero-knowledge proofs secure.
As a result of this partnership, consumers can validate the authenticity, fairness, and safety of an agent. This leads to promoting an interoperable and secure AI network. The test of the identity infrastructure of Privado ID and the launch of AI Agent Trust Registry will take place in phases.
The first phase will include the Privado ID credentials’ integration with the AIRIS AI Agent. Subsequently, the 2nd phase will cover a scalable registry verifying complicated attributes such as safety and authenticity via privacy-upholding zero-knowledge proofs.
Fostering Robust Validation and Wide-Ranging Data Privacy
According to SingularityNET, the 3rd phase will explore self-governance ideas dealing with AI Agents. The respective phased approach guarantees resilient validation and comprehensive data privacy. The mutual initiative pays considerable attention to developing an autonomous and robust AI Agent network.
