From the course: Synthetic Data as the Future of AI Privacy, Explainability, and Fairness: An Introduction for Data Scientists and Data Executives

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Why is synthetic data essential for Responsible AI?

Why is synthetic data essential for Responsible AI?

From the course: Synthetic Data as the Future of AI Privacy, Explainability, and Fairness: An Introduction for Data Scientists and Data Executives

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Why is synthetic data essential for Responsible AI?

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- Now, you might be asking, how does synthetic data fit into responsible AI? And there are four big points where synthetic data is essential for the ethical and responsible development of artificial intelligence. The first point is obviously privacy, ensuring that the training data that you use for AI is privacy preserving. The second one is data sharing. Responsible AI is complex and difficult to achieve in practice. Therefore, it can't rest on the shoulders of data scientists alone to decide what is responsible, what is ethical, or when an algorithm is fair. Oftentimes, data scientists don't even have the necessary ethical training to solve these tasks. And therefore, it's so important that we have diverse teams with diverse professional backgrounds working on the topic of responsible AI. But as humans, we can't reason and code alone. It's the data that's our lingua franca and it's the granular representative data,…

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