Responsible AI Governance in Decentralized Web Systems
DOI:
https://doi.org/10.34306/p329z797Keywords:
AI Governance, Decentralized Web, Policy Coordination, Legal Architecture, Digital GovernanceAbstract
Balancing rapid technological innovation with accountable governance has become a major challenge in decentralized web ecosystems where Artificial Intelligence (AI) operates with increasing autonomy. The expansion of distributed platforms, blockchain based infrastructures, and autonomous digital services creates complex regulatory environments that traditional legal systems often struggle to address. This study employs qualitative normative analysis and comparative policy review to examine emerging regulatory models, ethical guidelines, and governance mechanisms for responsible AI deployment. The proposed governance framework can be implemented through smart contract auditing, blockchain-based verification systems, and decentralized monitoring protocols to support transparency, accountability, and regulatory compliance. Findings indicate that an integrated legal architecture based on transparency standards, accountability mechanisms, algorithmic auditability, and decentralized coordination can strengthen oversight of autonomous systems without restricting innovation. The framework also improves regulatory enforcement and cross jurisdictional governance coordination. These findings provide practical guidance for policymakers, regulatory institutions, and platform developers while emphasizing the importance of aligning legal frameworks with evolving technologies to protect digital rights, maintain public trust, and support sustainable and resilient decentralized digital ecosystems.
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