Cybersecurity Analytics - Module 12 - The Gap Between AI Accuracy & Truth

This podcast outlines the core components of the NIST AI Risk Management Framework, focusing on the essential functions of governance, mapping, measurement, and management. To ensure responsible AI deployment, the framework highlights the importance of establishing clear policies, identifying stakeholder interests, and evaluating performance metrics like fairness and robustness. It emphasizes organizational accountability through oversight structures and systematic risk response planning during the technology's lifecycle. Additionally, the text defines the characteristics of trustworthy AI, which include safety, security, and the active mitigation of harmful biases. By integrating these functions, organizations can maintain transparency and ensure their systems remain valid and reliable.