Many people are worried about face detection and tracking technology in public places. In addition, the formation of profiles of personal traits and personal travel records also worries them.
Governments do not appear to be particularly concerned about this, and they will do more to legislate more precisely.
The same concern with regard to concerns
and the absence of clear rules is the main concern with face recognition technology.
Frank Chaudhuri, director of the AIX division of AXCHR, spoke in response to San Francisco’s lawmaking:
We have a serious defect in the regulation of these technologies.
Do we live in a dangerous situation that we need such technologies?
Are punitive controls the only way to reach a healthy society?
When we are faced with new and emerging technologies such as virtual reality,
augmented reality and the like, the first step is to ask a question about why the technology is coming.
Why do governments or businesses need face recognition technology? Of course, people do not legislate the technology.
There are people in the legislative process who benefit most from it. They benefit from new gains through the sale of equipment or the use of technology to reduce the workforce.
In fact, it is never the ultimate goal of society or civilization,
and almost everything ends up in money and power.
Money and power can not be considered just behind the scenes for achieving face recognition technology. Throughout history, collaboration and integration have been one of the main pillars of survival in humans.
In addition, the need to classify humans and form groups known as “others” is always felt in all societies.
Unfortunately, in the direction of these perceptions, misunderstandings and beliefs about personality and behaviors are created.
Finally, due to these misunderstandings, fear and insecurity interfere with citizens, governments and law enforcement.
Throughout history, we have tended to categorize the community and form a group called “others.”
Today, combining the constant fears of humans with a much larger and more diverse and diverse communities has created new behaviors among us. We know each other today, but we do not have enough knowledge.
In addition, we try to communicate with each other whenever necessary. In the future, our fears will make us invest heavily on security issues.
For a better understanding, it’s enough to look at the large number of CCTV cameras in today’s stores and homes.
If humans have more social, open, and sympathetic behaviors in society, the existing fear will also be eliminated. As a result of confronting this false fear, one can feel more secure.
All these things will be provided with greater importance to each other in the community.
The experience of monitoring each other
Instead of trying to live a more social life, humans are moving toward monitoring each other. For example, we have increased our ability to identify the “others” in the community using our surveillance cameras.
With the cheaper video surveillance cameras, a variety of businesses using new products and tools have increased their capacity in the field of surveillance, and by adding multiple cameras in stores and physical centers, they try their best to prevent theft and violence. They worked.
Nowadays, the protective forces in the offices and organizations, along with the observation of people closely, look carefully at the displays of surveillance cameras.
Even at times, cameras have been closely superseded by surveillance. Over time, cameras became more advanced, and some of them monitored human resources.
In this way, the need for video surveillance has played a psychological deterrent role for us, and perhaps even became a necessary tool.
Looking at the above trends, we conclude that our behaviors and movements have been recorded for a long time.
As a result, we did not know who was watching the recorded images, and would they have a performance-based video surveillance video?
With smaller and cheaper surveillance cameras, their influence on people’s lives has grown. As a result, ordinary users have come to the conclusion that they use surveillance technology in their daily lives.
As a follow-up, the cameras penetrated most of our products and became part of the normal life of everyone.
Ultimately, we have a joint performance monitoring between governments, organizations and each of us who carry a smartphone with a camera or camcorder.
Cameras in homes, as oppose to public monitoring in communities, are knowing as useful tools against the threat of “others.”
House spaces are limit, and any abnormal activities and processes are easily identify by the house owner or the intelligent system.
House owners, especially their expensive ones, have a high sensitivity to their assets and even use side services alongside regulatory cameras.
Some even sign contracts with security companies in order to maximize confidence in the ultimate security of their assets.
It’s not easy to monitor everything in the community, unlike home video surveillance. The countless cameras that are installed in cities will produce a large amount of video that will be a huge problem processing.
The number of cameras and their volume of information is so high that there are not enough people or resources to view, process, and understand them.
In such a situation, when there is even a crime, criminals are identify hours or days after the crime, because watching video surveillance cameras usually takes a lot of time.
Video surveillance tools are cheaper than ever available to people
Even if a method for optimizing video processing and a more accurate detection of an individual or a vehicle of a criminal offender is findd, there is not enough available resources available.
In fact, many monitoring systems do not provide the useful information needs to identify criminals, and their data may be ultimately useless.
When a technology does not deliver the required results, it is generally considered to be duplicate innovations known to be optimized.
Perhaps the same trend is taking place for current surveillance cameras. For example, numerous authorities around the world have implemented the policy of installing surveillance cameras on police officers’ uniforms.
One of the reasons for implementing this plan would be to make citizens and the police more legitimate. Another application may come in the near future and these cameras will carry out live monitoring.
The high approach to installing cameras has its own weaknesses. There is still no definite legislation for using cameras.
In addition, many police stations face the challenge of storing and processing large amounts of recorded data.
As a result, many believe that police policies and their relationship with the community should be improved to address the challenges of monitoring and identifying offenders rather than using new technologies.
Next Generation Video Surveillance Technology
The initial result of numerous efforts to improve video surveillance systems is that today we have numerous surveillance cameras that do not have the required performance for a variety of reasons.
In addition, despite the low efficiency, we use them today in a variety of domains, and we use cameras from stores and homes to many other areas.
In an inappropriate situation that requires more human intervention, the search for optimal solutions increases. Individuals and organizations are trying to develop a fast and inexpensive solution that comes with the help of previous technologies.
They do not care that new and add-on capabilities to previous technologies may have different outcomes with their expectations.
As a result of this process, facial recognition is introduced as a panacea for video surveillance.
Face recognition is never a matter of the accuracy and beauty of science fiction films
The media played a major role in implementing new technologies. In fiction films, facial recognition technology works with great care.
In films, we see the heroic police who easily detect criminals using facial recognition.
Such results are certainly unrealistic. Police in the movies live in a fantasy world that never has details of living and dynamic societies with different ideas and opinions.
What is presented in movies as aesthetics and power of technology plays an important role in the development of new technologies.
Technology activists use the same images as a template for their later works.
In addition, the authorities are seeing the most up-to-date and top-notch technologies by seeing those fantastic achievements, and claiming to receive their own funds.
Technology activists may not be concerned or familiar with the results of their achievements in the community.
By contrast, government officials are likely to ignore the implications of new technologies with the goal of providing ground for testing technology companies or not having an understanding of the consequences of their decisions.
Face detection at first sight claims to have easy and quick arrest of criminals, the same process that is shown in movies, and no news of difficult processes such as better identification of people and society’s attitudes.
For the police, dealing with software is easier than confronting direct confrontations with potential criminals.
In fact, they rely on software definitions for their own convenience, instead of direct interrogations and examination of evidence of being guilty or not.
As a result of such actions, the network of interconnect surveillance cameras, which may have facial recognition, is use instead of better understanding of the community and people’s behaviors.
The data collecting from the cameras can not be use to identify people’s personality
The data obtained from the face recognition process can never be a precise substitute for knowledge of the community and the behavior of the people, because there is always the possibility of misinterpretation and misrepresentation.
In addition, the technology does not have an equal trend for all people of all races and gender. So far, numerous reports have been publish on misconceptions and false AI interpretations of criminals.
An interviewer from the University of MIT last year claimes that the three famous face recognition systems were wrong at detecting white men only 0.8%, compare to 34.4% for black women.
As a result of this research, it can be predict that face detection implementation can have worrying consequences.
From face detection to profiling
Face recognition software was an innovative achievement for surveillance cameras to solve social problems. On the other hand, only human beings, not technology, can solve the existing challenges among themselves.
Of course, people use technology to solve their problems more easily, and there are several problems with this approach.
In fact, people should ask themselves which technologies are useful for a healthy society, and which ones should not be used?
Answering the above questions and choosing technologies that help solve the challenges, today, without government consultation and information input from the people, is being compelte by governments and large organizations.
Today, facial recognition devices are available at low cost, without any specific regulation.
The same use without legislation and without transparency creates many concerns among people.
When facial recognition technologies such as Amazon are widely use by governments and organizations and people are also feature as test subjects, we should look forward to the emergence of next technologies.
The next technology will be artificial intelligence, which can draw conclusions about people’s behaviors and morals based on face recognition data.
Chinese people are now pioneering this technology, and they use face-to-face profiling on a large scale, especially to monitor the Muslim community of 11 million people in their country.
The New York Times recently explored the use of artificial intelligence and face recognition in China in a comprehensive article. We read in parts of the article:
The face recognition technology, which is rapidly deploying on a large network of Chinese CCTV cameras, specifically examines Uighurs (Chinese Muslim minority), as well as controls their commute and presence.
Such an approach would turn China into the pioneer of the next generation of technology aimed at monitoring people, which may lead to auto-racism in societies.
Authorities and Chinese companies have identified suspects of committing crimes in large public events using facial recognition and artificial intelligence technology. In addition, in other specific situations, technology is also using to identify people in hotels and airports, and even target advertising.
The United States also has no face-to-face recognition technology in China. They also use face detection security at their border security centers as well as targeted advertising displays.
Perhaps we are in transition. Perhaps new technologies will infiltrate our lives,
in addition to expanding the boundaries of science and technology, to change social concepts.
For example, when people go straight to the place where they go, this recognition,
like other old technologies and data, leads to a profile of their character.
Creating a profile creates the impression that one can predict human behaviors using the algorithm.
In the next step, the algorithms take the place of the real personality of people everywhere,
and ultimately their diagnoses are more accurate than the information people have of themselves and their entourage.
The next dangerous step is decision making based on face recognition information
Co-operation in a society is creating when individuals share their own contribution. Although people sometimes give personal credits to get their desired results, this is not always the case.
If we always have to donate a part of our identity and personality,
we have entered into a series of slavery. The loss of real identity at the expense of better identification by algorithms, somehow takes people away.
As a result,
we can no longer choose how we know ourselves or even the products that are offering to us. Such a course will certainly not be similar to beneficial social cooperation for all.
According to the above scenario,
it can be conclude that the application of artificial intelligence in combination with face recognition, which is doing for the convenience of organizations and governments, will have worrying consequences.
This kind of innovative technology is a dangerous development in the field of video surveillance,
because it forces people to spend even more on their personal and personal assets.
Attempts to completely ban the use of software have been meet with severe resistance. Legislators and companies like Microsoft have already made great efforts to develop regulatory frameworks in these areas.
Among them, it may be necessary to inform when using video surveillance tools in public places.
Of course, such legislation does not provide any decision-making power to the people. In fact, they have no choice but to leave places equipped with surveillance cameras.
Because of the inappropriateness of existing laws,
the need to pass new laws to restrict face recognition is feeling more and more.
We are now at an important stage in the development of technology
and legislation should be implement as soon as possible in the same stages.
In the absence of regulation at the time of the development of technologies,
perhaps the future and after their widespread use, they can no longer be prevented from using their incorrect uses.
When facial recognition and other AI applications become widespread
and there are no laws for limiting them, people will no longer be defenseless.
In this way, governments and companies can easily use their information and identity for any purpose they want.
At such a stage of greed, profit and power become the main motivations of technology use.
If, by referring to our instincts, we intend to identify dangerous “others” in the community,
then perhaps companies and individuals who abuse our face and identity may be classified as “others.”
People who do not only profit financially,
but also categorize and control social abuse by exploiting the same information.