From the course: Foundations of Responsible AI
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A roadmap for the future
From the course: Foundations of Responsible AI
A roadmap for the future
- Responsible AI isn't about frameworks or about technical skills. It starts with a decision to treat responsibility as part of the technical craft, to build systems that reflect that commitment over time. This course has covered how to do that work, across system design, model development, testing, deployment, monitoring, governance, and even team culture. Each piece matters, but implementation doesn't happen all at once. It happens through choices that are made during planning, in code reviews and documentation, and how teams handle complexity under pressure. This video proposes a roadmap for applying everything you've learned through this course. There's no fixed sequence or a step-by-step analysis, but there are a few questions that can help guide your next actions. First, begin by asking, where in your current workflow are the most important decisions being made without enough structure or visibility? Which part of the system would benefit most from clearer documentation, more…
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