Unveiling the Impact of Assumptions on AI Bot Responses and AI Biases
Researchers have introduced a new approach called Concept Relevance Propagation (CRP) to understand deep learning models. CRP provides human-understandable explanations by mapping attribution maps to concepts, addressing the 'where' and 'what' questions about individual predictions. It allows for the exploration of model designs and application domains, unraveling the conceptual landscape and assessing the quantitative impact of various ideas on predictive outcomes. This approach opens up new opportunities for researching, evaluating, and enhancing the performance of AI models.