Decentralized Governance of AI Agent

Abstract

Artificial intelligence (AI) is to a great extent accountable for revolutionizing healthcare, finance, transportation, and governance in contemporary society. Ethical adherence, accountability, and justice are coming into question as AI systems become more autonomous and capable of making choices independently without the involvement of human beings. Companies, governments, and regulatory institutions are in command of most of the conventional AI governance frameworks. These frameworks often fail to offer transparency, discrimination, and representation despite offering governance. Centralized AI regulation can result in hardto-audit decisions, which is problematic from an ethical and legal standpoint. These models also introduce a point of failure, and therefore, AI systems are vulnerable to security threats, abuse, and possible manipulation by influential actors. It is increasingly clear that an AI governance system that is more participatory, accountable, and transparent is necessary. Rather than depending on one authority, decentralized governance is an attractive option because it decentralizes decision-making power. Blockchain, smart contracts, and Decentralized Autonomous Organizations (DAOs) are explored in this research to determine how they can be utilized to create a transparent, fair, and secure governance system for AI agents. An unalterable ledger developed by blockchain technology keeps a record of all AI activities, such as model changes, decision-making processes, and training data updates. network of validators, not a single central entity This makes it so that AI systems cannot be modified and can still be verified. AI agent decisions can be audited, verified, and reviewed by a distributed network of validators instead of a centralized one by combining AI with blockchain-based governance. This makes it impossible for AI systems to be modified and can still be verified. AI agent decisions can be audited, verified, and reviewed by a distributed network of validators instead of a centralized one by combining AI with blockchain-based governance.