bias and fairness in ai algorithms
Bias in AI algorithms refers to systematic favoritism or prejudice that leads to unfair or inaccurate outcomes. It occurs when the algorithm is influenced by pre-existing biases present in the data or design process, resulting in unequal treatment or discriminatory results. Fairness in AI algorithms, on the other hand, means ensuring that the algorithms treat all individuals fairly and impartially, regardless of their characteristics, such as race, gender, or socio-economic status. It involves mitigating biases in the algorithm to minimize discriminatory effects and promote equitable outcomes for all users or individuals affected by the system.
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