As Artificial Intelligence grows smarter and more common, the world needs a set of rules and guidelines to manage it. This system is called AI Governance. In simple terms, governance means planning and control making sure that this powerful technology is used correctly and safely. It is necessary because while AI can do incredible good, it can also create new risks for people and society.
The main reason we need AI Governance is to handle problems like fairness and safety. For example, if an AI program used to decide who gets a bank loan is trained only on data from one specific group of people, it might be unfair, or biased, against others. Governance requires checking these systems to make sure they treat everyone equally. It also involves making sure that AI systems are safe, meaning they do exactly what they are supposed to do without causing unexpected harm, especially in critical areas like healthcare or driving.
Two key ideas in AI Governance are transparency and accountability. Transparency means that people should be able to understand how an AI system reaches its decision. We need to avoid "black box" AIs that make choices without explanation. Accountability means that someone must be responsible when an AI makes a mistake or causes a negative result. Whether it is the company that built the AI or the person who used it, there must be a way to find who is at fault and fix the problem.
Today, governments and large technology companies worldwide are working to create good AI governance frameworks. The goal is to set universal standards that encourage innovation in AI while protecting the public. By creating clear rules, we can ensure that AI technology improves life for everyone in a secure and responsible way.
