📌 AI Governance Summary
AI governance is the set of rules, processes, and structures that guide how artificial intelligence systems are developed, used, and managed. It covers everything from who is responsible for AI decisions to how to keep AI safe, fair, and transparent. The goal is to make sure AI benefits society and does not cause harm, while being accountable and trustworthy.
🙋🏻♂️ Explain AI Governance Simply
Think of AI governance like the rules and referees in a football match. Just as rules make sure everyone plays fairly and safely, AI governance sets guidelines so AI systems are used responsibly and do not hurt people. Without these rules, things could get out of control or be unfair, just like a game without referees.
📅 How Can it be used?
A project could use AI governance by setting clear rules for how AI makes decisions that affect customers.
🗺️ Real World Examples
A healthcare company implements AI governance by establishing an ethics board to review new AI tools for patient diagnosis. They ensure the AI does not discriminate and that patient data is handled securely and transparently, following both legal and ethical guidelines.
A city council uses AI governance to oversee an AI-powered traffic management system. They create policies to ensure the system does not unfairly prioritise certain neighbourhoods and regularly audit its performance for fairness and accuracy.
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