Kognitive Optimierung durch KI?

Abstract

Recent developments in artificial intelligence (AI) promise cognitive optimization in many areas of our lives, ranging from automated decision-making to superintelligence. In a predominant narrative, the black-box of machine learning systems is identified as one of the biggest obstacles from an epistemic point of view. The problem is expected to be solved by algorithmic counteractions emerging from the field of explainable artificial intelligence (XAI). However, deeper questions about a meaningful cognitive division of labor between AI algorithms and human actors who use these systems are vastly ignored. The article aims to replace the dominant anthropomorphizing metaphors by a reconceptualization based on philosophy of technology. The new framework allows to interpret AI technology as an epistemic tool, which co-shapes a specific milieu of reflection and which is based on an epistemic model of automated knowledge production. This re-conceptualization offers a new perspective on AI technologies, where epistemic empowerment and epistemic sovereignty are in the center.