ARTIFICIAL INTELLIGENCE AND COMPUTER SYSTEMS IN PSYCHOLOGICAL ASSESSMENT

Abstract

One big shift in how we study behavior comes from using smart machines along with 
computers when testing minds. Old ways of checking mental health used paper forms plus 
expert guesses, but now digital tools handle huge piles of actions and answers instead. What 
happens next often ties tech designs to trust in results, questions about steady outcomes, right
or-wrong choices, and where things might go later. Ideas mix together - from number-heavy 
test theory to pattern-spotting code - to weigh how well forecasts hold up under pressure. 
Hidden risks pop up too: hidden slants in software, private facts slipping out, decisions made 
behind closed doors. Even though speed, accuracy, and less hands-on work improve, success 
rests firmly on tight checks and fair rules guiding each step. Not humans, but helpers - that’s 
how AI fits alongside psychologists, working together where needed. What comes next? 
Studies that dig into clear reasoning by machines, tracking behavior through data trails, testing 
algorithms across varied cultures - each step building on the last. 
Artificial Intelligence Meets Psychological Assessment Through Machine Learning 
and Digital Psychometrics With Challenges in Algorithmic Bias and the Need for Explainable 
AI in Clinical Decision Support 

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