Fairness in AI

Fairness in AI refers to the ethical principle that artificial intelligence systems should operate without bias, ensuring equitable treatment across diverse groups. It involves designing algorithms that mitigate discrimination based on race, gender, age, or other attributes, promoting transparency, accountability, and inclusivity. Fair AI practices enhance trust in machine learning models, improve decision-making, and support compliance with regulations. Emphasizing fairness in AI not only fosters social justice but also drives better outcomes in applications ranging from hiring and lending to healthcare and criminal justice.

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