This paper surveys existing and emerging frameworks for AI governance and points to common emphases with respect to reliability, transparency, accountability, and fairness. The authors argue that use of AI has intensified concerns about fairness and call for development of more specific and comprehensive standards by national, regional, and global standard-setting bodies to define fairness and to clarify the role of human intervention in the development and use of AI models in the financial system.