Fairness Score and process standardization: framework for fairness certification in artificial intelligence systems

Decisions made by various Artificial Intelligence (AI) systems greatly influence our day-to-day lives. With the increasing use of AI systems, it becomes crucial to know that they are fair, identify underlying biases in their decision-making, and create a standardized framework ascertain fairness. In this paper, we propose novel Fairness Score measure fairness data-driven system Standard Operating Procedure (SOP) for issuing Certification such systems. audit process standardization will ensure quality, reduce ambiguity, enable comparison improve trustworthiness It also provide operationalise concept facilitate commercial deployment Furthermore, Certificate issued designated third-party auditing agency following would boost conviction organizations intend deploy. The Bias Index proposed paper reveals comparative bias amongst protected attributes within dataset. To substantiate framework, iteratively train model on biased unbiased data using multiple datasets check correctly judge