Controllability is a crucial element when it comes to managing AI systems. It is an umbrella term that encompasses a range of processes designed to understand, regulate, and manage an AI system's decision-making process. The importance of this cannot be understated, as it ensures that the system is accurate, safe, and adheres to ethical standards. With the growth of AI systems in recent years, the potential for undesired consequences is an ever-present reality. However, by implementing controllability measures, we can minimize the likelihood of these consequences occurring.
