As AI technologies become more prevalent in daily life, they evoke a range of emotional responses from users. While many appreciate the speed and efficiency of AI tools, others experience anxiety and distrust, primarily due to the opaque nature of these systems. This phenomenon, termed algorithm aversion, highlights a psychological tendency where individuals prefer human judgment over algorithmic decision-making, especially after witnessing errors. The discomfort arises from the inability to interrogate AI decisions, leading to feelings of disempowerment. Furthermore, the emotional absence of AI, which lacks human-like cues, exacerbates this distrust. Users often project human-like intentions onto AI, leading to feelings of betrayal when algorithms fail. To foster acceptance, it is essential to design AI systems that are transparent and allow for user engagement, thereby building trust through understanding.