Importance of Decision-Making Processes in Disaster Processes in Case of Institutional Changes and Artificial Intelligence

AI Technologies and “algorithmic decision-making” changes in institutionalized relations are changing decision-making processes and their reflections. Machine learning to process big data on human behavior and real human behavior get face to face in disaster issues and decision-making issues sometimes get blurred and difficult. It has been introduced in various fields such as loan screening by financial institutions, personnel recruitment, and student evaluation in educational settings. However, this paper will discuss disasters and forest fire examples especially in Türkiye and globally.

However, I will explore how algorithmic decision-making affects society”. Do decision-making and its associated concepts change or not concerning disaster issues? If so, how will they change? Particular attention should be paid to "who (or what) makes the decision" and how they can be used. Can they be combined in forest fire cases? The paper will explore decision-making individuals or decision-making subjects, and the question of distinguishing human and non-human. The possible impacts will be discussed.

From a sociocybernetics perspective, the paper will focus on the conceptual changes (evolution of meaning) by focusing on both theoretical and empirical.