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Wednesday, July 22, 2020

Persecution of Uighur Muslims in China and the silence of Muslim Countries

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Aditi Mohta
Aditi Mohta
East Asia

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Article Contributor(s)

Aditi Mohta

Article Title

Persecution of Uighur Muslims in China and the silence of Muslim Countries

Publisher

Global Views 360

Publication Date

July 22, 2020

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Xi Jinping, the Chinese President with the Supreme Leader of Iran, Ayatollah Ali Khamenei

Xi Jinping, the Chinese President with the Supreme Leader of Iran, Ayatollah Ali Khamenei | Source: Official website of Ali Khamenei, Supreme leader of Iran via Wikimedia

Uighur are natives of  Xinjiang province of China who are Muslims and regard themselves as culturally and ethnically close to Central Asian nations. Xinjiang province has been under the control of China since it was annexed in 1949 and many Uighurs still identify their homeland by its previous name, East Turkestan. There are around 11 million Uighurs in Xinjiang and China claims that Uighurs hold extremist views that are a threat to national security.

In 2017, the Xinjiang government passed a law prohibiting men from growing long beards and women from wearing veils and dozens of mosques were also demolished.

As per the report of UN Committee on the Elimination of Racial Descrimination, the Chinese government has detained at least one million Uighurs in the detention camps in Xinjiang, China. After denying the existence of the camps for a long time, when the photos of the camps emerged, the Chinese government called them “re-education centres'' for Uighurs though the former detainees said they were detained, interrogated and beaten because of their religion, and not “re-educated.”

In July 2019 to the U.N. Human Right Council, 22 countries, mainly European countries, responded to “disturbing reports of large scale arbitrary detentions of Uighurs” and condemned the Chinese leadership.

Four days later, 37 countries, defended China’s “remarkable achievements in the field of human rights” by protecting the country from “terrorism, separatism and religious extremism.” The list of the 37 countries also included Muslim-majority countries like Saudi Arabia, Pakistan, Egypt, Qatar etc.

At the end of October 2019, 23 countries including France, the United Kingdom, United States denounced the repression of the Uighurs at the UN Committee on Social, Humanitarian and Cultural Affairs. Nevertheless, Beijing won the support of 54 countries, who praised the Communist Party’s management of Xinjiang.

In February 2019, Saudi Arabia showed their “respect” for Xi Jinping, the Chinese leader before they signed major commercial contracts with China. Egypt wants Beijing to finance its infrastructure and hence allowed the Chinese police to interrogate Uighur exiles on its soil in 2017. Pakistan, who has talked about the mistreatment of Rohingyas, has been silent on Uighurs since the Chinese Belt and Road Initiative is going on in the country.

Even Iran, who issues occasional criticism wants support from China and hence keeps the criticism coded. “There is a lot of sympathy for the Uighurs in Turkey, but the reality is that Erdogan needs China as an ally for economic reasons and to counteract the West’s diplomatic pressure on issues like Syria,” said Rémi Castets, a political scientist.

In 2017, the Organisation of Islamic Cooperation responded very differently to the Rohingya Crisis (Myanmar’s military crackdown on the country’s Rohingyas), where countries like Saudi Arabia, Iran and Turkey defended the rights of the Muslim minority group in Myanmar and actively condemned the treatment of Rohingyas in the UN Human Rights Council in Geneva.  

The question here arises is that contrary to the sentiments of their citizens, why do Muslim states stay silent over China’s abuse of the Uighurs?

Sophie Richardson, the director of China at Human Rights Watch, has a short and simple answer — there is less solidarity for Uighur than Rohingyas or Palestinians because China has managed to win these countries’ support due to its economic might.

Only time will tell how long these countries will continue to give preference to the economic interests over the anti-China sentiments of the citizens.

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February 4, 2021 5:22 PM

Automated Facial Recognition System of India and its Implications

On 28th of June 2019, the National Crime Records Bureau (NCRB) opened bids and invited Turnkey Solution providers to implement a centralized Automated Facial Recognition System, or AFRS, in India. As the name suggests, AFRS is a facial recognition system which was proposed by the Indian Ministry of Home Affairs, geared towards modernizing the police force and to identify and track criminals using Facial Recognition Technology, or FRT.

The aforementioned technology uses databases of photos collected from criminal records, CCTV cameras, newspapers and media, driver’s license and government identities to collect facial data of people. FRT then identifies the people and uses their biometrics to map facial features and geometry of the face. The software then creates a “facial signature” based on the information collected. A mathematical formula is associated with each facial signature and it is subsequently compared to a database of known faces.

This article explores the implications of implementing Automated Facial Recognition technology in India.

Facial recognition software has become widely popular in the past decade. Several countries have been trying to establish efficient Facial Recognition systems for tackling crime and assembling an efficient criminal tracking system. Although there are a few potential benefits of using the technology, those benefits seem to be insignificant when compared to the several concerns about privacy and safety of people that the technology poses.

Images of every person captured by CCTV cameras and other sources will be regarded as images of potential criminals and will be matched against the Crime and Criminal Tracking Networks and Systems database (CCTNS) by the FRT. This implies that all of us will be treated as potential criminals when we walk past a CCTV camera. As a consequence, the assumption of “innocent until proven guilty” will be turned on its head.

You wouldn’t be surprised to know that China has installed the largest centralized FRT system in the world. In China, data can be collected and analyzed from over 200 million CCTVs that the country owns. Additionally, there are 20 million specialized facial recognition cameras which continuously collect data for analysis. These systems are currently used by China to track and manipulate the behavior of ethnic Uyghur minorities in the camps set up in Xinjiang region. FRT was also used by China during democracy protests of Hong Kong to profile protestors to identify them. These steps raised concerns worldwide about putting an end to a person’s freedom of expression, right to privacy and basic dignity.

It is very likely that the same consequences will be faced by Indians if AFRS is established across the country.

There are several underlying concerns about implementing AFRS.

Firstly, this system has proven to be inefficient in several instances. In August 2018, Delhi police used a facial recognition system which was reported to have an accuracy rate of 2%. The FRT software used by the UK's Metropolitan Police returned more than a staggering 98% of false positives. Another instance was when American Civil Liberties Union (ACLU) used Amazon’s face recognition software known as “Rekognition” to compare the images of the legislative members of American Congress with a database of criminal mugshots. To Amazon’s embarrassment, the results included 28 incorrect matches.. Another significant evidence of inefficiency was the outcome of an experiment performed by McAfee.  Here is what they did. The researchers used an algorithm known as CycleGAN which is used for image translation. CycleGAN is a software expert at morphing photographs. One can use the software to change horses into zebras and paintings into photographs. McAfee used the software to misdirect the Facial recognition algorithm. The team used 1500 photos of two members and fed them into CycleGAN which morphed them into one another and kept feeding the resulting images into different facial recognition algorithms to check who it recognized. After generating hundreds of such images, CycleGAN eventually generated a fake image which looked like person ‘A’ to the naked eye but managed to trick the FRT into thinking that it was person ‘B’. Owing to the dissatisfactory results, researchers expressed their concern about the inefficiency of FRTs. In fact mere eye-makeup can fool the FRT into allowing a person on a no-flight list to board the flight. This trend of inefficiency in the technology was noticed worldwide.

Secondly, facial recognition systems use machine learning technology. It is concerning and uncomfortable to note that FRT has often reflected the biases deployed in the society. Consequently, leading to several facial mismatches. A study by MIT shows that FRT routinely misidentifies people of color, women and young people. While the error rate was 8.1% for men, it was 20.6% for women. The error for women of color was 34%. The error values in the “supervised study” in a laboratory setting for a sample population is itself simply unacceptable. In the abovementioned American Civil Liberties Union study, the false matches were disproportionately African American and people of color. In India, 55% of prisoners undertrial are either Dalits, Adivasis, or Muslims although the combined population of all three just amounts to 39% of the total population (2011 census). If AFRS is trained on these records, it would definitely deploy the same socially held prejudices against the minority communities. Therefore, displaying inaccurate matches. The tender issued by the Ministry of Home Affairs had no indication of eliminating these biases nor did it have any mention of human-verifiable results. Using a system embedded with societal bias to replace biased human judgement defeats claims of technological neutrality. Deploying FRT systems in law enforcement will be ineffective at best and disastrous at worst.

Thirdly, the concerns of invasion of privacy and mass surveillance hasn’t been addressed satisfactorily. Facial Recognition makes data protection almost impossible as publicly available information is collected but they are analyzed to a point of intimacy. India does not have a well established data protection law given that “Personal data Protection Bill” is yet to be enforced. Implementing AFRS in the absence of a safeguard is a potential threat to our personal data. Moreover, police and other law enforcement agencies will have a great degree of discretion over our data which can lead to a mission creep. To add on to the list of privacy concerns, the bidder of AFRS will be largely responsible for maintaining confidentiality and integrity of data which will be stored apart from the established ISO standard. Additionally, the tender has no preference to “Make in India'' and shows absolutely no objections to foreign bidders and even to those having their headquarters in China, the hub of data breach .The is no governing system or legal limitations and restrictions to the technology. There is no legal standard set to ensure proportional use and protection to those who non-consensually interact with the system. Furthermore, the tender does not mention the definition of a “criminal”. Is a person considered a criminal when a charge sheet is filed against them? Or is it when the person is arrested? Or is it an individual convicted by the Court? Or is it any person who is a suspect? Since the word “criminal” isn’t definitely defined in the tender, the law enforcement agencies will ultimately be able to track a larger number of people than required.

The notion that AFRS will lead to greater efficacy must be critically questioned. San Francisco imposed a total ban on police use of facial recognition in May, 2019. Police departments in London are pressurized to put a stop to the use of FRT after several instances of discrimination and inefficiency. It would do well to India to learn from the mistakes of other countries rather than committing the same.

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