Public transport is an important aspects of the urban infrastructure, which plays an important role in keeping people connected and mobile in various communities. As AI is applied in this sector, we can expect improvements in security, efficiency and access. However, when it comes to implementing AI technologies in gender-sensitive areas, we need additional attention to moral issues. Major concerns include transparency, fairness and reliability, especially when designing an alert system that has an awareness of the presence of male genitalia. These systems, which are usually created using modified algorithms, are intended to deal with issues such as algorithmic bias, data security and cultural acceptance between various user groups. Research highlighted the importance of merging technological progress with moral standards, prioritizing inclusion and transparency to create confidence and acceptance among travelers. While AI can significantly increase the safety and efficiency of public transport, it is important to consider the concepts of privacy, integrity and trust in female-only spaces. The gender-sensitive prediction system, often based on AI algorithms, faces moral challenges such as prejudice, data abuse and infiltration monitoring. This chapter outlines a broad structure designed to promote confidence and confidence among passengers, as well as emphasizing moral ideas with guidelines to develop new AI technologies.