What are some common AI governance frameworks and their purposes?

Common AI governance frameworks include the OECD Principles on Artificial Intelligence, which promote a human-centered approach, the IEEE Ethically Aligned Design guidelines focusing on prioritizing ethical considerations in AI development, and the NIST AI Risk Management Framework, which helps organizations manage risks associated with AI technologies. These frameworks typically aim to ensure accountability, safety, transparency, and alignment with societal values while providing guidance on responsible AI deployment and risk assessment processes.