Decentralized autonomous AI agents for ethical auditing in the software development process

The concept of a continuous ethical audit system in software development based on a network of interacting decentralized autonomous AI agents is proposed. The system analyzes the source code, technical documentation, and developer communications in real time for compliance with established ethical principles and regulatory requirements. The key innovation lies in the system's ability to identify non-obvious ethical dilemmas through deep contextual analysis, surpassing the capabilities of existing solutions focused primarily on formal verification. A decentralized architecture provides resilience, scalability, and reduces the risks associated with a single point of failure or control. The implementation of this concept can significantly increase the level of integration of ethical considerations into the software development lifecycle.