The human factor in human – AI interaction: hyper – reliance as a systemic cognitive and organizational risk

Abstract

The paper analyzes hyper-reliance on AI as a cognitive and organizational phenomenon in which users consistently treat algorithmic outputs as more trustworthy than their own expert judgments, effectively lowering the level of critical self-assessment. Drawing on international studies, statistical data, and documented incidents, the paper shows that this tendency is becoming systemic and generating new professional and economic risks. Unlike works focused on the technical improvement of AI, the paper highlights the human factor as the most vulnerable element of the system.