Explainable artificial intelligenceExplainable AI (XAI), also known as Interpretable AI, or Explainable Machine Learning (XML), either refers to an AI system over which it is possible for humans to retain intellectual oversight, or to the methods to achieve this. The main focus is usually on the reasoning behind the decisions or predictions made by the AI which are made more understandable and transparent. XAI counters the "black box" tendency of machine learning, where even the AI's designers cannot explain why it arrived at a specific decision.
Models of neural computationModels of neural computation are attempts to elucidate, in an abstract and mathematical fashion, the core principles that underlie information processing in biological nervous systems, or functional components thereof. This article aims to provide an overview of the most definitive models of neuro-biological computation as well as the tools commonly used to construct and analyze them.
Visual cultureVisual culture is the aspect of culture expressed in . Many academic fields study this subject, including cultural studies, art history, critical theory, philosophy, media studies, Deaf Studies, and anthropology. The field of visual culture studies in the United States corresponds or parallels the Bildwissenschaft ("image studies") in Germany. Both fields are not entirely new, as they can be considered reformulations of issues of photography and film theory that had been raised from the 1920s and 1930s by authors like Béla Balázs, László Moholy-Nagy, Siegfried Kracauer and Walter Benjamin.
