AI Risk Management

AI Risk Management is the process of identifying, assessing, and mitigating risks in AI development and deployment. It ensures compliance with regulations and safeguards against ethical, legal, and operational challenges. According to NIST’s AI Risk Management Framework (RMF), it involves coordinated activities to direct and control risk (ISO 31000:2018). Aligning with international standards (ISO/IEC 22989, ISO/IEC 23894), AI Risk Management enhances reliability, transparency, and accountability while minimizing biases, security vulnerabilities, and unintended consequences. Prioritizing AI risk management is crucial for sustainable innovation and building trust in AI applications.

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