This study aims to analyze the factors influencing students behavioral intention to use Turnitin as an AI tool, using a quantitative approach based on the Unified Theory of Acceptance and Use of Technology (UTAUT) model. This study evaluates three exogenous independent variables Effort Expectancy (EE), Facilitating Conditions (FC), and Perceived Risk (PR), along with two endogenous variables Attitude Towards AI Tools (ATAT) and Behavioral Intention (BI). Data were collected by distributing questionnaires with a Likert scale to 212 students from several study programs at Binus University, who were selected using cluster random sampling techniques. Data analysis was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS4, involving the assessment of the measurement model (validity and reliability) and the structural model (path coefficients and hypothesis testing). The results indicated that EE and PR significantly influence ATAT, and ATAT significantly influences BI. FC, however, did not significantly influence BI. The model’s explanatory power for ATAT and BI highlights the critical roles of user perceptions and attitudes in technology adoption. The study confirms that understanding these factors is crucial for effective implementation of Turnitin in fostering an academic environment that values originality and responsible academic practices. This study highlights how crucial it is to comprehend these elements in order to use Turnitin to create a learning environment that promotes moral academic behavior and creativity. For businesses preparing to deploy anti-plagiarism technology, this study offers theoretical support for the fields of educational technology and information research.