How to Approach AI Risk Management in Practice
Organizations are adopting artificial intelligence at a rapid pace, often with more enthusiasm than preparation. The speed of deployment can outstrip the ability to understand what the system is actually doing, how it might fail, and what the downstream consequences could be. This is not a reason to avoid AI, but it is a strong argument for building a structured approach to oversight from the start. Many teams focus on model performance metrics such as accuracy or latency w