Unlocking the black box – XAI
XAI is a crucial element in the realm of artificial intelligence (AI) that aims to demystify the intricate workings of machine learning models. As AI applications continue to grow, understanding the decision-making processes of models becomes paramount for building trust and ensuring responsible deployment.
XAI intends to address the inherent complexity and opacity of such models and to provide clear and accessible explanations for predictions. This transparency not only enhances the interpretability of AI models but also empowers users, stakeholders, and regulatory bodies to scrutinize and comprehend these processes. In critical domains such as healthcare and finance, where decisions have real-world consequences, XAI is indispensable. For instance, in medical diagnoses, an explainable model not only delivers accurate predictions but also sheds light on specific features in medical images or patient records that influenced the diagnosis, building...
