Neural AI Governance refers to the framework and guidelines specifically designed to manage the implementation, operation, and monitoring of neural network-based AI systems, ensuring they adhere to ethical, regulatory, and transparency standards. It focuses on the application of cutting-edge neural networks in government systems while safeguarding the trust, security, and privacy of the public and ensuring compliance with global and regional regulations.
Unlike traditional AI governance, Neural AI Governance integrates complex machine learning models, including deep learning algorithms and other neural network architectures, into critical decision-making processes within government entities. These systems need to function effectively within public service environments, where transparency, accountability, and fairness are of utmost importance.
