AI risk management involves identifying, assessing, and addressing risks related to the development and use of artificial intelligence technologies. The goal is to minimize negative consequences and ensure that AI solutions are used in a safe, ethical, and compliant manner.
Unlike traditional risk management, AI-driven risk management can adapt in real time through the use of machine learning and data analytics, enabling more precise and effective assessments.
Commonly used frameworks include:
NIST AI Risk Management Framework
EU AI Act
ISO/IEC standards for AI and information security
Through the PECB certification program, you can build expertise in AI risk management and obtain the Certified Lead AI Risk Manager credential — focusing on the responsible and secure use of artificial intelligence.
