From the course: AWS Certified AI Practitioner (AIF-C01) Cert Prep

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AI model safety and transparency tradeoffs

AI model safety and transparency tradeoffs - Amazon Web Services (AWS) Tutorial

From the course: AWS Certified AI Practitioner (AIF-C01) Cert Prep

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AI model safety and transparency tradeoffs

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- When it comes to AI models, both safety and transparency are usually discussed in the same conversation. Let's make sure that we can define these terms and understand the relationship to each other. Safety is ensuring that AI systems behave as expected without causing unintended harm. And some focus areas here include reducing bias, includes ethical concerns around privacy and fairness, as well as minimizing harmful outputs such as misinformation. And why this matters is that generative models especially have really high stakes when it comes to generating content that might be considered sensitive. Now, for transparency, we're going to go ahead and combine this with interpretability. Transparency is just the extent to which the workings of the AI model are understandable. Interpretability is the ability to explain why a model has come to the decision that it did. And the reason why this is important is that it helps to build trust. It helps with debugging and improvement, and it…

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