Decentralized AI: Leveraging Blockchain for Trustworthy Machine Learning Models

Abstract

Artificial Intelligence (AI) improves decisions made by people in various programs, but the algorithms behind it rely on patterns of acquisition and a centralized design. Decentralized AI programs that handle issues of effectiveness, safety, and trust are now necessary due to this. These problems are addressed and a more effective solution is offered by blockchain-enabled technologies. Even if corporate and academic organizations have made advances in combining AI with different technologies, obstacles still stand in the way of its full implementation. In addition to discussing ways to overcome these obstacles, this paper highlights the need to integrate these innovations. The study also emphasizes the requirement for a broader strategy by emphasizing the possible benefits of integrating AI with complementary technologies in a variety of applications.