👉 Equality computing, also known as fairness-aware computing or equitable computing, is an approach that aims to ensure fairness and prevent discrimination in computational systems. It involves designing algorithms and data processing techniques that account for and mitigate biases, ensuring that outcomes are equitable across different demographic groups. This is achieved by incorporating fairness metrics into the model training process, adjusting for disparities in data representation, and evaluating models based on their impact on various groups. By doing so, equality computing seeks to create more just and inclusive technologies that do not perpetuate existing societal inequalities.
