Fairness in AI
Fairness in AI pertains to the practices and methodologies employed to ensure unbiased and equitable outcomes in AI algorithms. This includes examining and mitigating bias that can arise from training data and algorithmic processes.
Fairness in AI pertains to the practices and methodologies employed to ensure unbiased and equitable outcomes in AI algorithms. This includes examining and mitigating bias that can arise from training data and algorithmic processes.
