This academic paper explores the impact of blackbox AI and profiling algorithms on young adults' perceptions of transparency when using self-checkout interfaces in grocery stores. The study used qualitative interviews with six participants and thematic analysis to identify values related to trust and transparency. By looking at the optimal level of input values in self-checkout interfaces it is studied how young adults interpret and respond to the transparency through modified interfaces. This research found that the current self-checkout system is generally considered satisfactory by the participants in terms of transparency, but caution must be exercised if fraud checks based on personal information are introduced because of a negative influence on the shopping experience. In the case more personal information is used, New Situation 2 is preferred. The findings emphasise the importance of maintaining transparency in the implementation of such systems to ensure a positive shopping experience for young adults.Future research on the placement of fraud detection information and the relationship between perceived transparency and the number of input values shown is recommended to find further implementations of the findings from this study.