The Role of Distributed Ledger Technologies in Enhancing AI Ethics and Governance

Abstract

This paper explores the intersection of distributed ledger technologies (DLTs) and artificial intelligence (AI), focusing on how DLTs can enhance the ethical frameworks and governance structures surrounding AI development and deployment. With the increasing integration of AI into various sectors, concerns regarding transparency, accountability, and bias have become paramount. DLTs, characterized by their decentralized nature, immutability, and enhanced security, offer potential solutions to these challenges by providing a transparent audit trail of AI decision-making processes and data provenance. This paper outlines the fundamental principles of DLTs and examines their applications in AI ethics, such as promoting accountability through traceable decision-making, ensuring data integrity, and enabling decentralized governance models. Case studies illustrate successful implementations of DLTs in AI governance, demonstrating how these technologies can foster trust and collaboration among stakeholders. Ultimately, this paper argues that integrating DLTs into AI governance frameworks is crucial for creating ethical AI systems that align with societal values and enhance public trust in AI technologies.