Wednesday, August 12, 2020

Symbols of the racist past still prevalent in the United States

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Syed Ahmed Uzair

Article Title

Symbols of the racist past still prevalent in the United States

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Global Views 360

Publication Date

August 12, 2020

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A person wearing Blackface

A person wearing Blackface | Source:  foundin_a_attic via Flickr | Source: Wikimedia

George Floyd’s recent death while in Police custody has sparked protests across the entire United States. While it did expose the way Black Americans are policed, it also initiated a much deeper conversation about the prevalent racism faced by Black Americans in almost all aspects of modern life.

Many symbols of the racist past still exist across the US, more so in the Southern states. The recent trigger of protests and the BLM movement has initiated a discussion about these symbols once again. While some argue that it is important to preserve these symbols owing to the American culture, the majority of the people seem to be agreeing that these are symbols of oppression and injustice.

Thomas D. Rice is pictured while performing his blackface role — Jim Crow | Source: Edward Williams Clay via Wikimedia

In the mid to late 19th century, white actors quite commonly employed the use of black grease paint to depict slaves and free blacks on stage. The technique commonly known as blackface was more than just facial makeup. Rather, it was used as a symbol for mocking the African-Americans as inferiors in every aspect of life.

Blackface seemed to have disappeared in the 1960s thanks to the Civil Rights Movement. It however reappeared in the 1980s on college campuses in the wake of steps taken to bring more African Americans to campus. An old yearbook picture from Langley School resurfaced recently revealing the then-principal and vice-principal dressed as whiteface and blackface for Halloween. The current leadership of the school have issued apologies stating that the incident should not have happened.

Despite a racist history surrounding blackface, a recent survey by Pew Research Centre revealed that nearly one-third of Americans surveyed did not find anything offensive in blackface being used at Halloween.

Newspaper ad for Aunt Jemima Buckwheat pancake mix, 1923 | Source: Chronicling America: Historic American Newspapers. Lib. of Congress

Aunt Jemima, a 130-year-old syrup and pancake mix brand owned by Quaker Oats depicts a black woman named Aunt Jemima who was originally dressed as a minstrel character. The company has earlier made tweaks to the picture of the black woman in response to the criticism it received for propagating a racial stereotype. In June 2020, Quaker Oats announced that the brand would be rejuvenated to feature a new name and image.

Image of Andrew Jackson, the seventh president of the United States | Source: Wikimedia

Andrew Jackson, the seventh US president and his family employed hundreds of enslaved people in building their wealth. However, to date, Jackson still haunts Black Americans with his presence on the twenty-dollar bills in the wallets of these Americans. The Trump administration’s decision to not replace the bill featuring Jackson with one that would feature abolitionist Harriet Tubman as proposed earlier does not help the nation’s troubled history with Racism.

Similar symbols of the US racist past exist across the entire country, starting from streets named after Confederate officers to congested highways specifically designed to ensure isolation of Black neighborhoods. Football and baseball games in the country still feature the national anthem penned by Francis Scott Key, a person who used his power as district attorney to prosecute Black men.

George Floyd’s death was the perfect trigger for all the anger and frustration against the systematic injustice that has been meted out to Black people. However, it also served well to initiate debates over the omnipresence of these racial symbols across the country that serve as memorials to slavery and white supremacy.

As many as 800 Confederate statues and monuments have been removed ever since the BLM protests erupted in the country. A few of these racial symbols in the US suffered the brunt of BLM protesters who defaced homages and toppled statues of founding fathers who had profited from slavery.

Those against the removal of these symbols argue that these men merely failed in morality due to the socio-political environment they inhabited. Alvita Akiboh, an assistant professor of history at the University of Michigan, however, disagrees with the notion. “Just because slavery was accepted among white elites or even the broader white population at the time does not mean it was accepted by everybody, because everybody includes Black people who were enslaved, indigenous people who were pushed off their lands in order to expand plantation slavery,” said Akiboh.

Others, including US President Donald Trump, have employed the notion of removing these symbols as the equivalent of “ripping American history and culture apart”. To this Akiboh voices her opinion saying that the majority of these symbols were erected decades after the civil-war conflict ended. She argues that they are merely “a reminder for Black and brown people to remember their place”.

As the BLM protests gain momentum and support globally the scrutiny of the racist symbols in the US shall increase manifold. With the government not willing to push for major reforms and removal of these racist symbols and an adamant public demanding an end to the systematic discrimination based on race, the road ahead for the recial relation in the US is a difficult and complicated one.

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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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