From the course: Foundations of Responsible AI
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Mapping technical choices to ethical principles
From the course: Foundations of Responsible AI
Mapping technical choices to ethical principles
- Every AI system reflects a series of decisions. Some of those are made with care through documented trade-offs and intentional design, but others accumulate more quietly, passed along through default settings and legacy tools, and often exacerbated by timelines that reward speed over precision. But regardless of how those decisions take shape, they influence how a system functions and how it impacts the people who use it. This video is about recognizing those decisions for what they are. They're not just engineering choices. They're moments where values and principles enter the system. And if you care about fairness or transparency, accountability, those principles need to live in the architecture of what we design, not just in public commitments or after-the-fact audits. Let's take a scenario. Let's say you're building a recommendation model for a financial platform. And it might be the case that your initial testing shows that it has strong performance, but breakdowns that happen…
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