AI systems should be designed with inclusivity at their core, taking into account the diverse needs of users from different backgrounds, abilities, and experiences. This entails involving diverse groups in the design process, ensuring AI products and services are accessible to all, and actively working to eliminate biases from datasets used in AI training.
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