AI governance involves a comprehensive range of frameworks, policies, and best practices that serve as guardrails for the development and use of AI technologies. AI governance brings together stakeholders from all corners of an organization.

It delves into various aspects such as fine-tuning AI algorithms, ensuring ethical decision-making processes, safeguarding data privacy and security, and assessing the broader economic and social implications associated with the deployment of this transformative technology.

AI governance is imperative for managing risks related to bias and maximizing desired outcomes. It aims to guarantee that AI systems are developed, implemented, deployed, used, and managed to maximize benefits and prevent harm.