What is the significance of fairness in AI, and how do you define it?
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Answer / Shiv Pratap Singh
The significance of fairness in AI lies in ensuring that AI systems treat all individuals equally and without discrimination, regardless of factors such as race, gender, age, or socioeconomic status. Fairness in AI aims to minimize biased outcomes and prevent unfair treatment. To define fairness, various metrics can be used, such as equalized odds, demographic parity, and calibration. These metrics help quantify the degree of fairness and guide the development of more equitable AI systems.
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