From the course: Responsible AI Algorithm Design
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AI governance and policy
From the course: Responsible AI Algorithm Design
AI governance and policy
- Well, let's talk about governance. First of all, imagine AI as a powerful new employee in your company who never sleeps, never takes a break, and can process mountains of data faster than anyone else. But here's the catch: this employee doesn't have a moral compass, doesn't understand the company's mission, and can't differentiate between what's legal, what's not. That's where governance comes in. AI governance is like the rule book, the employee handbook, and the mission statement all rolled into one. It's the framework that ensures your AI doesn't go rogue, making decisions that could land you in hot water. Well, why do we need policies? Because without them, AI is like a car without a driver, powerful, but potentially dangerous. Policies set the boundaries for what AI can and cannot do. They define who is responsible for the AI's actions, how decisions are made, and how to handle situations when things go wrong. It's like setting up guardrails on a winding road. Sure, they might…
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