00:00AI is powerful, but without proper governance it becomes risky and unpredictable.
00:06AI models are often created quickly, without proper documentation, monitoring, or explainability.
00:12This leads to risks around bias, security, ethics, and compliance, especially with regulations like the EU AI Act.
00:20Why does this happen?
00:22Data science teams work in isolation, processes are inconsistent, and there's no standard way to validate or review models.
00:30Start by building an AI governance framework.
00:33Define clear policies for model creation, documentation, testing, approval, and lifecycle management.
00:40Next, create a model registry. Track versions, performance, training data, ownership and audit logs for every model.
00:48And implement explainable AI techniques like LIME, SHAP, and partial dependence plots.
00:53This helps non-technical stakeholders understand how your model makes decisions.
00:59Good governance is more than compliance.
01:01It increases trust and accelerates AI adoption across the organization.
01:06Advance your skills. Transform your organization.
01:09Learn more with advised skills.
01:11Learn more with advised skills.
01:12Learn more with advised skills.
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