As organizations increase their adoption of AI, governance leaders are looking to put in place policies that ensure their AI deployment aligns with their organization’s principles, complies with regulatory standards, and mitigates potential risks. But where to start in developing your policies can oftentimes be overwhelming.
Navigating the evolving and complex landscape for AI governance requirements can be a real challenge for organizations. Previously, Trustible created this comprehensive cheat sheet comparing three important compliance frameworks: the NIST AI Risk Management Framework, ISO 42001, and the EU AI Act. This easy to understand visual maps the similarities and differences between these frameworks, […]
Trustible will be one of the leading AI stakeholders to help advance the development and deployment of safe, trustworthy AI under new U.S. Government safety institute (Washington, DC) – On February 8, 2024, Trustible announced that it joined some of the nation’s leading artificial intelligence (AI) stakeholders to participate in a Department of Commerce initiative to […]
Navigating the evolving and complex landscape for AI governance requirements can be a real challenge for organizations. We’ve created this comprehensive cheat sheet comparing three important compliance frameworks: the EU AI Act, the NIST AI Risk Management Framework, and ISO 42001. This easy to understand visual maps the similarities and differences between these frameworks, providing […]
What is the NIST AI RMF? The National Institute of Standards and Technology (NIST) Artificial Intelligence Risk Management Framework is a voluntary framework released in 2023 that helps organizations identify and manage the risks associated with development and deployment of Artificial Intelligence. It is similar in its intent and structure to the NIST Cybersecurity Framework […]
