In May, San Francisco issued a ban on facial recognition technology that was banned from government agencies and law enforcement agencies, making it the world’s first city to issue a ban on facial recognition technology.
However, American society’s opposition to facial recognition technology is not just San Francisco. Recently, Oakland, Calif., is considering a similar law to San Francisco, and Massachusetts is considering discontinuing face recognition until the technology improves.
The question is: More and more cities in the United States are banned or suspended using this technology. What is it?
Defective face recognition technology
Objectively speaking, the American face recognition technology has been at the forefront and has been acting at the commercial level. Amazon launched the face recognition software Rekognition as early as 2016. Similar products include Google Cloud Vision API, IBM Watson Visual Recognition and Microsoft Face API.
Despite this, current face recognition technology is not 100% accurate. In 2018, the New York Times article pointed out that today’s very popular AI application face recognition, the accuracy of different races varies greatly. The error rate for black women is as high as 21% to 35%, while the error rate for white men is less than 1% – which is very politically incorrect in the United States.
Another Oolong event worth mentioning is: Amazon launched the image recognition AI system “Rekognition” in 2016. It has identified 28 US lawmakers as criminals, which has made the American society feel awkward and questionable about facial recognition.
Dr. Zhang Xiaobo from the Institute of Automation, Chinese Academy of Sciences once said that lighting, posture, decoration, etc. all have an impact on machine face recognition. For face image acquisition in non-cooperative situations, the occlusion problem is very serious.
Especially in the monitoring environment, the monitored object may wear glasses, hats, etc., so that the captured facial image is incomplete, affecting subsequent feature capture and recognition, and even causing the face detection algorithm to be invalid.
Although the size of the face recognition algorithm decreases with the increase of the face database, how to maintain or improve the recognition rate of the face recognition algorithm in a large-scale application environment is also a very important issue.
Who is your face how facial recognition works?
In terms of safety, face recognition technology is also widely questioned.
For example, the information storage for face recognition is still based on a computer-readable language, ie digital or specific code. As the value of these materials increases, the risk of hacking attacks will increase how facial recognition works.
The support behind face recognition technology is information. If these private materials are stolen, your face may not belong to you and become anyone.
At the same time, as mentioned above, the face recognition technology has different accuracy rates for different races. Regardless of the author’s research or the manufacturer’s experiment, it is clear that the female dark ethnicity identification error rate is higher. Racial discrimination is a very sensitive topic in American society. If the relevant laws of face recognition technology are not perfect, then face recognition technology is still controversial.
The bigger controversy is the resentment and anxiety of American social groups on “monitored.”
Amazon and other technology companies have also partnered with the US police to apply face recognition technology to surveillance and police-wearing camera lenses. Many US state governments, including Oregon, have become Rekognition’s customers.
Amazon’s facial recognition software, Rekognition, instantly identifies, analyzes, and tracks thousands of images and databases in seconds. Law enforcement agencies have applied technology to the search for missing persons and to identify suspected terrorist attacks.
However, the American Civil Liberties Union (ACLU) has written to the government: Amazon should stop providing the US government’s powerful and “dangerous” facial recognition system.
Shortly after the book was published, nearly 20 Amazon’s shareholder institutions sent letters to CEO Jeff Bezos, worrying about the problems and impacts that Amazon Rekognition used for law enforcement.
Shareholders wrote & Top Facial Recognition Software Companies:
Amazon shareholders are concerned that such government surveillance facility technology may not only pose a privacy threat to users and other stakeholders across the country, but may also increase the company’s substantial risks, negatively impact the company’s share price, and increase financial risk for shareholders.
Shareholders are also concerned that Rekognition may violate the civil rights of women, people of color, immigrants and other marginalized groups facial recognition algorithm, who are particularly vulnerable to the police’s focus.
Not only do Amazon shareholders believe that Rekognition will invade privacy, but the American public has similar views. Applying face recognition technology facial recognition algorithm to front-end surveillance cameras may break the balance between privacy and usability.
Suppose the US police has several such security cameras and a “blacklist” photo library of suspicious persons. If anyone else is similar to these suspicious people, they may be interrogated by police officers how facial recognition works once they enter the police security camera range. Most Americans don’t want to live how facial recognition works in that world.
Facial recognition technology pros and cons. Not only is Amazon’s Rekognition controversial, but the US Customs and Border Protection Program is also highly criticized for applying face recognition technology.
The project identifies passengers face recognition technology ppt through the Cloud Face Biometric System. How facial recognition works this information comparison service is designed to replace manual customs and will require the process of presenting paper documents to be automatically identified.
This face recognition system is designed to be fast. And US Customs and Border Protection (0CBP) believes that computers are more accurate than humans when comparing passport photos and faces. Within 40 days, the system has assisted in the discovery of three imposters at Washington Dulles Airport.
But this technology can be used without knowing it. The immutable data collected by the face recognition system, that is, facial information. This raises people’s concerns. If someone’s information is always in the system, the system can keep track of the person’s whereabouts facial recognition technology pros and cons.
Even CBP did not consult the public face recognition technology ppt, and it was implemented at the airport, breaking through the boundaries of American law benefits of facial recognition.
CBP emphasizes that this technology is not for surveillance, and implementation is also in compliance with the law. US citizens can choose to end the program facial recognition technology pros and cons and the photos will not be retained for a long time. Not only that, but CBP also stated that there are many laws that allow for the collection of biometric information.
However, privacy law experts pointed out that although the laws listed in CBP apply to non-citizens, they do not explicitly mention the situation involving citizens. And the Georgetown University Privacy and Technology Law Center published a report in 2017 saying that it has been obvious for the past 14 years that US citizens have been absent from the law facial recognition algorithm.
CBP is still facing doubts, not to mention other US government departments how facial recognition works.
The acceptance and integration of new technologies facial recognition algorithm by a social group is not always smooth; especially for the United States to focus on political correctness and privacy, face recognition applications are facing increasingly serious embarrassing situations face recognition technology ppt.
It is conceivable that face recognition may have more and more opposition to the voice in the United States, facial recognition algorithm, but whether it is a good thing or not is not known how facial recognition works.
San Francisco became the first city in the United States to ban the use of facial recognition technology by police or other government agencies on the 14th how facial recognition works.
Reuters reported that the face recognition technology used by government agencies over the years has become more powerful as the rise of cloud computing and artificial intelligence technology has become more intense. The San Francisco move has set a precedent in the United States “benefits of facial recognition”.
Proponents of the resolution believe that using software and cameras to accurately identify faces, as San Francisco City Council member Aaron Peskin described, “benefits of facial recognition not ready for the golden age.”
Agence France-Presse reported that only one of the nine members of the San Francisco City Council has not endorsed this legislation, facial recognition algorithm and benefits of facial recognition, will vote again in accordance with the procedural steps next week. It is expected that the results will not be reversed benefits of facial recognition.
The content of the legislative resolution passed on the 14th wrote how facial recognition works: “The potential problems of facial recognition technology are far more harmful to citizens’ rights and freedoms than the claimed advantages. This technology will worsen racial inequality and threaten us from being subjected to The government has repeatedly monitored the freedom of existence no idea about benefits of facial recognition.”
The ban does not include airports or other federal jurisdictions. Peskin said that the law is not an anti-technical policy and still allows the use of monitoring tools such as cameras benefits of facial recognition.
Face recognition technology is very effective for large-scale monitoring, causing many people to worry about privacy issues. Recently, San Francisco wants to use the new law to prohibit the use of facial zoom technology to monitor the public. If passed, it will be a precedent for the United States facial recognition algorithm what benefits of facial recognition.
The bill, called Stop Secret Surveillance, aims to protect citizens’ rights and freedoms from the increasingly powerful face recognition technology threats of recent years and ensure that they are not continuously monitored by the government. San Francisco’s definition of “monitoring technology” is biometric identification technology including license plate readers, surveillance cameras, software for predicting criminal activities, iris scanners, facial or gait recognition software. If the bill is passed, these technologies should be used to monitor the public. There will be more restrictions facial recognition algorithm.
Aaron Peskin, chairman of the San Francisco Regulatory and Rules Committee, said the Stop Secret Surveillance bill will collect more opinions before the county board of supervisors vote. In addition to San Francisco, other cities in the United States are considering similar rules, providing clearer guidelines and restrictions on monitoring tools and technologies, as well as data collection behavior. In addition, the prejudice of artificial intelligence has received more attention facial recognition algorithm & benefits of facial recognition.