Algorithmisches Entscheiden, Ambiguitätstoleranz und die Frage nach dem Sinn

Abstract In more and contexts, human decision-making is replaced by algorithmic decision-making. While promising to deliver efficient objective decisions, decision systems have specific weaknesses, some of which are particularly dangerous if data collected processed profit-oriented companies. this paper, I focus on two problems that at the root logic decision-making: (1) (in)tolerance for ambiguity, (2) instantiations Campbell’s law, i. e. indicators used “social decision-making” being subject “corruption pressures” tending “distort corrupt” underlying social processes. As a result, can risk missing point practice in question. These intertwined with structural injustice; hence, algorithms their promises efficiency objectivity, accountability critical scrutiny needed.