Table of ContentsIntroductionAnalysis of ReasonsConclusionReferenceIntroduction: With the advancement of technology, artificial intelligence has become an important part of human life. Facial recognition technology, which is a part of artificial intelligence, has gradually become fashionable in human life. Background: Certainly, facial recognition technology brings a lot of convenience to human life, so some people wonder whether facial recognition technology can be applied to law enforcement. After some research, the answer is no. Thesis Statement: Facial recognition technology has three drawbacks, which make it impossible to apply in law enforcement: low accuracy, racial discrimination, and invasion of privacy. This article explores the shortcomings of facial recognition technology in law enforcement, based on examples and statistics. We hope this article will bring new ideas and shed light on the development of facial recognition technology. Say no to plagiarism. Get a tailor-made essay on “Why violent video games should not be banned”?Get the original essayIntroductionIn 2018, Jacky Cheung (a famous Chinese star) held a concert in Nanchang province. At that time, due to heavy rain and cold weather in Nanchang, the weather was not very good, but this did not dampen the fans' enthusiasm, even a fugitive criminal came to the concert secretly. Although the fugitive was wearing a decent suit, he was taken away moments later by several police officers. In fact, the police used facial recognition technology on site to identify the public. By discovering his identity, thanks to the positioning of the security system, the police managed to catch the fugitive. This is an example that shows the application of facial recognition technology in law enforcement. You may be wondering how facial recognition works? Facial recognition technology is usually photographed by a digital camera and then analyzes human facial features. It first scans the entire face, then analyzes the structure of the face and shows the distribution of the five sensory organs of the tested face. This unique data is stored in a database for later comparison. In the example cited above, the police used facial recognition technology to analyze the facial features of this criminal and compared them to the information in the database. The outlaw was therefore incarcerated and kept in prison. However, whether facial recognition technology should be used by law enforcement is a controversial topic. Some people agree that law enforcement should use facial recognition technology, because facial recognition can detect criminals accurately, increase the detection rate, and keep society safe. However, others have opposing views. Many people believe that it should not be used as a tool to facilitate the work of law enforcement. They also don't think it can help law enforcement maintain social order and keep people safe. There are three reasons why facial recognition technology should not be used by law enforcement: low reliability, racial bias, and invasion of privacy. raised as people expect. Evidence and citation: Facial recognition technologyrequires creating a face model, which is a database of collected facial features. When law enforcement uses facial recognition technology to identify criminals, they must compare the information in the database with images collected during the criminal investigation. If there is not the same face in the face model, the system can provide the most likely candidate photographs. This requires manual inspection by the police. Additionally, if the suspect's information is not in the database, then facial recognition technology is useless. Therefore, the accuracy of facial recognition technology is not 100%. Additionally, facial recognition technology results may trigger a bad “match” or bad “reject” for a variety of reasons. Some reasons affect the accuracy of the results: low light, glare from glasses, change in hair or hairstyle, and angle of photographs. Even in a controlled situation, the results are still not completely accurate. When taking personal photos randomly on the street, the error is greater, because a surveillance camera is often unable to take photos from the front. Ideally, the person photographed should be under strict control. For example, the subject must look directly at the camera and fill the area of ​​the photo, so that an automatic system can reliably identify the person in the photo and even detect their face. Although the above operations portend a promising future for the application of facial recognition technology, it is actually not a perfect technology. So said, facial recognition technology does not achieve perfect accuracy; when applied in law enforcement, especially when identifying suspects, it cannot provide 100% correct results. Therefore, facial recognition cannot be widely used in law enforcement.Topic sentence: Second, discrimination is also a weak point, and facial recognition technology should not be used in law enforcement because it does not accurately detect people of color. As everyone knows, facial recognition technology has developed rapidly recently. Evidence and Citation: In an experiment that tested this technology to identify different ethnic groups, the results showed that the accuracy of this technology was so high in identifying white people, even almost flawless. However, when it comes to identifying people of color, accuracy has obviously declined. The darker the skin color of the person being tested, the lower the accuracy of the facial recognition technology. Even the error rate can reach 35%. In addition, Joy Boulamwin's experience showed that when facial recognition systems work, testing people of color is more likely to obtain erroneous results than testing white people. When Joy Boulamwini studied at MIT in 2019, she discovered that it was very difficult to test facial recognition technology on her face unless she wore a white mask, simply because she had dark skin. In many cases, facial recognition technology is not objective. According to Because We Can Free Our Machines of Bias, Joy Boulamwini showed that “facial recognition systems sold by the largest technology companies, such as IBM, Microsoft and Amazon, involve discrimination. Even the very famous faces – the faces of Oprah Winfrey, Michelle Obama and SerenaWilliams cannot be successfully recognized by the facial recognition technology of most recognizable companies. Comment: Therefore, when it is realized that facial recognition technology poses a problem of discrimination, its application in policing needs to be given greater consideration. For this reason, biased facial recognition technology is difficult to make the right decision when recognizing criminals from people of color. Finally, the third disadvantage of facial recognition technology is the threat to an individual's privacy. If the government wants to fully implement facial recognition technology, it could require businesses to install electronic surveillance across the country to scan the faces of customers and employees. Some people have raised the possibility of abuse of personal data, since cameras and monitors can easily be connected to the Internet, tracking individuals everywhere and allowing the government to understand the situation and control the social order. Citizens also fear that companies will start creating data records about their customers and workers and then sharing personal data with other companies. But, more importantly, personal information must be classified. It is worth mentioning that with the development of technology and the ability to accumulate an overwhelming amount of data, police departments run the risk of damaging information storage. Comment: Any information collected, in the event of a leak, may be used for malicious purposes. In particular, information collected by facial recognition technology during law enforcement poses a high risk of hacking and data abuse. For example, it can be used by terrorists or other interested organizations. Since the data collected by the government is crucial, the government database is often the main target for hackers. Thus, the threat of information theft to citizens is enormous and unimaginable. For example, in 2014, the U.S. Office of Personnel Management disclosed the data of approximately 22 million people, including their employment history, family member names, and fingerprints. Like the OPM hacking incident, which is an example of where public trust in government was damaged and the police department and other services were breached by security breaches. The consequences are irreparable and unimaginable. People are simply afraid that information collected by facial recognition technology could be used to violate privacy. Additionally, a Georgetown legal study indicated that a majority of American adults are included in the police's facial recognition database. Since citizens believe that monitors equipped with facial recognition system can capture all their actions in daily life, they worry not only about being constantly monitored, but also about the consequences of applying the facial recognition system. facial recognition technology in policing. without rules. In fact, there are few if any laws that can regulate the application of facial recognition technology. This means that facial recognition technology can easily intrude on people's privacy.ConclusionConclusion paragraph: In conclusion, this article discusses the disadvantages of applying facial recognition technology in law enforcement from three aspects : low reliability, racial discrimination and.