Sunday, June 21, 2020

Black Lives Matter: Solidarity protests in Western Europe

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Nishitha Mandava

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Black Lives Matter: Solidarity protests in Western Europe

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Global Views 360

Publication Date

June 21, 2020

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“Black Life Matters” Protest at Southampton, UK

“Black Life Matters” Protest at Southampton, UK | Source: Thomas Allsop via Unsplash

The killing of the African-American George Floyd in the hands of Minneapolis police commanded world attention. It witnessed Pan-American protests against police brutality and racism. Countries across the world have stood in support of these protests against racial violence. These protests in America have triggered a number of protests across Western Europe to localise them and condemn racism in their own countries.

Protests against racial violence and police brutality drew large numbers across European capitals and other prominent cities as well. Paris protests alone saw an estimated 20000 people near the Eiffel Tower who protested against the death of George Floyd. These protesters tried to localise the issue of racial violence and police brutality by taking up the case of Traoré, a young black man whose family claims that he died due to suffocation under police custody at Persan (north of Paris) in 2016. These protests have been going on consistently for over a week. Despite the police ban on demonstrations in Paris due to the risk of COVID-19, the demonstrations couldn’t be curbed. Parallel protests were also reported in other cities of France like Lyon, Rennes and Marseille.

Berlin also has been sustaining its ‘Black Lives Matter’ protests for over a week. Demonstrations were held in other German cities such as Cologne, Frankfurt and Dusseldorf. The Bayern Munich footballers wore T-shirts with slogans that read ‘Red card against racism- Black Lives Matter’ in their match against Leverkusen to raise awareness against racial violence. Various German activists believe Floyd’s death has not only triggered anti-racist protests but also multiple questions regarding equitable distribution of resources and representation of diverse races that co-habit in Germany.

In the United Kingdom, too, despite the COVID-19 risk, a large number of protestors stood in solidarity with the U.S protests. In Bristol, demonstrators pulled down the statue of slave trader Edward Colston on 7 June, 2020. Even though these protests were against racial violence, the chords of the protests mainly struck with issues of blacks during COVID-19. British government data showed that blacks living in British were four times more likely to die from COVID-19 as compared to whites. This discrimination by the virus can be attributed to the institutionalised nature of racism and the lack of equitable access to resources for minorities living in Britain.

Protests were held widely in Spain. The U.S embassy outside Madrid has become one of the hotspots for protestors to gather. Hundreds gathered to mourn the death of Floyd and observed silence for him. The city of Budapest too observed silence and chanted songs outside its U.S embassy.

European media has also played a key role in actively condemning Trump for his actions of using military force to tackle the protests. While the French Newspaper Le Monde in its editorials has dubbed Trump as ‘President of division’ the Spanish newspaper El Pais’s headlines read ‘The U.S. Faces Its Worst Racial Conflict in Half a Century’. Trump’s actions to use federal force and active duty military personnel have made the European media to cover the protests more extensively. Newspapers coupled with social media have acted as catalysts in spreading the cause of the protests at a much faster rate.

Floyd’s killing sparked protests against racial violence and systematic racism around the world. However, it resonated at a deeper level with Western European countries primarily due to their rising number of immigrants from African and Arab countries. These countries, for decades, have struggled with accommodating these minorities equally with the mainstream population. The approach to localise these protests has helped to not only denounce racial violence in America but also in their own home country. The nature and extent of these protests have pointed out that governments no longer have the luxury of gradualism and have to instead take up swift actions to eliminate institutionalised racism and police brutality.

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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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