New York City's transit authority is part of a growing number of US transportation systems exploring the use of sensors and artificial intelligence (AI) to enhance track inspections. This emerging technology holds promise for improved efficiency and reduced maintenance expenses. However, concerns surrounding the precision and dependability of AI-driven inspection outcomes in intricate settings such as urban transit systems must be carefully weighed. Moreover, issues of liability and cybersecurity must be thoroughly addressed before widespread adoption can occur.