Explainable and Evaluative Artificial Intelligence: Alternatives to Ensure Equity in Decision-Making

Abstract

Explainable Artificial Intelligence (XAI) and Evaluative Artificial Intelligence (EAI) are crucial approaches to ensuring fairness in decision-making. XAI refers to the ability of Artificial Intelligence (AI) systems to be understood and explained by humans, while EAI is a new paradigm that focuses on identifying possible decisions for intelligent algorithms by formulating hypotheses for and against them.