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An exploration into why you need to design your models using concrete goals for fairness and inclusion
Why engaging with social scientists, humanists, and other relevant experts for your product to understand and account for various perspectives would be beneficial to your end goal
Examining why we need to create a stress to test the system and the need to evaluate your systems to check for unfair biases
Understanding the need to use representative datasets to train and test your models, to represent various perspectives, experiences, and goals
Evaluating user experience in real-world scenarios across a broad spectrum of users, use cases, and contexts of use
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