AI Governance Frameworks

AI Governance Frameworks refer to the structures, policies, and guidelines that organizations implement to ensure responsible and ethical use of artificial intelligence technologies. These frameworks typically encompass principles such as transparency, accountability, fairness, and privacy, aiming to mitigate risks associated with AI deployment. They are designed to guide organizations in making informed decisions about AI development and use, while also addressing regulatory compliance. Common use cases include setting standards for AI model training, ensuring equitable outcomes in AI applications, and establishing protocols for data management and security.