Inclusivity in AI refers to the practice of developing and deploying AI technologies in a way that considers and values diverse perspectives, needs, and experiences and ensures that the benefits of AI are accessible to all members of society.
It involves taking into account factors such as gender, age, ethnicity, culture, socioeconomic status, and physical and cognitive abilities, among others, in the design, development, and deployment of AI systems.
Inclusive AI can help to address societal biases, reduce discrimination and inequality, and promote fairness and social justice in the use of technology.
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