AI in the majority world and model distillation
Practical AI
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People-Centered Design in AI
This chapter explores the principles of people-centered design in deep learning, focusing on transparency, explainability, and reversibility to reduce bias. It highlights the need for diverse training data, continuous feedback, and mindful monitoring to create effective AI systems while building trust in high-stakes environments.
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