Professional Psychology: Research and Practice, Vol 57(3), Jun 2026, 165-174; doi:10.1037/pro0000678
Artificial intelligence (AI), an interdisciplinary field designed to emulate human intelligence, has advanced rapidly in recent years. AI and generative large language models have unique capabilities that, while promising, raise ethical concerns and challenges to practice, including issues related to confidentiality, transparency, test bias, and data security. AI has already been integrated into assessment processes, including test development, administration, scoring, and report writing, introducing unprecedented opportunities and risks. Psychologists must navigate these complexities to uphold ethical principles and ensure AI’s responsible use in advancing the field. This article discusses several ethical concerns that may emerge as the field increasingly incorporates this emerging technology. This review highlights the urgent need for transparent, explainable AI systems, robust ethical guidelines, and empirical research guiding AI’s applications in the future of psychological assessment. (PsycInfo Database Record (c) 2026 APA, all rights reserved)