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Explainability Evaluation Schemes
According to the World Economic Forum, https://www.weforum.org/agenda/2022/01/artificial-intelligence-ai-technology-trust-survey/, approximately 60% of adults believe artificial intelligence (AI) systems will transform their daily life. In contrast, only 50% said they trust AI technology firms. Advances in AI systems and calibrating trust require a balancing act between speed, transparency, and fairness.
Generally, Explainable AI (XAI) systems provide explainability by generating explanations for individual predicted instances or describing how a model derives a prediction. Existing XAI approaches fall into two main categories: they favor interpretable models or assess change in output through model manipulation. ...
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