From the course: AI Product Security: Building Strong Data Governance and Protection
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Defining data governance for AI products
From the course: AI Product Security: Building Strong Data Governance and Protection
Defining data governance for AI products
- Let's kick off this chapter by diving deep into AI data governance. If AI systems are a house, data governance is the blueprint. It defines everything from ownership to maintenance, but what does a strong framework actually look like? Let's take a look. Remember Riley, they're feeling overwhelmed by the complexities of data governance and security and don't know where to start. If you're like Riley, don't worry, I'm here to help. The first thing to consider is that governance isn't just a set of rules. It's a mindset. It's about making sure data is managed ethically, securely, and responsibly. Think of governance like a three-legged stool. The legs are ownership, handling, and monitoring. If one wobbles, the whole system is at risk. In AI, every data set needs a clear owner who's responsible for its quality, security and compliance. Without this accountability, data governance can quickly spiral into chaos. Owners are like captains of the ship. They steer the data safely through…
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