NIST unveiled the final version of its AI Risk Management Framework last week, giving companies a high-level resource to improve their compliance efforts for AI and machine learning use. This two-part article series addresses the practical realities of AI governance, with observations from front-line practitioners. Part one offers tips from a leading AI language model and chat provider on forging a corporate culture to address AI risks, including toxic language output and flawed data sets. Part two will present top priorities for companies trying to craft adequate AI compliance programs and will discuss the brand-new market for automated AI governance platforms. See “Takeaways From the New Push for a Federal AI Law” (Oct. 26, 2022).