Psychological Assessment in AI-Driven Decision-Making Environments

Abstract

The rapid integration of Artificial Intelligence (AI) into decision-making processes across sectors such as healthcare, finance, education, law enforcement, and human resources has transformed how decisions are made and justified. While AI systems promise efficiency, consistency, and data-driven accuracy, their growing influence raises significant psychological, ethical, and social concerns. Psychological assessment plays a crucial role in understanding how humans interact with AI-driven decision-making environments, how trust, bias, accountability, and autonomy are affected, and how these systems influence individual and collective behavior. This article explores the relevance of psychological assessment in AI-driven decision contexts, highlighting key constructs, assessment methods, challenges, and future directions.