Facial recognition technology (FRT) is an artificial intelligence that has raised many ethical questions. This study examines real incidents involving facial recognition technology to better understand these problems. Natural language processing methods analyzed the language and emotions in the incident reports to find patterns in how people were harmed and what ethical issues were raised. The analysis shows that most of the incidents had a negative tone. Many involved unfair treatments of minorities or errors made by the technology. Certain ethical concerns—like bias, safety, and privacy—reoccurred often and have become more common since 2016. Most of the language used to describe the incidents was serious and analytical, not emotional. These results suggest that facial recognition technology can cause real harm if not designed and used carefully. Worry about these issues has persisted and grown over time. The study helps connect real-world problems to what researchers and designers have said about trust, fairness, and privacy. In conclusion, facial recognition can be useful, but it requires stronger guidelines and better design to protect people. This study shows why fairness, oversight, and accountability are so important as we keep using AI in more parts of life.