Wednesday, September 2, 2020

Kamala Harris: A Look At Joe Biden’s Running Mate

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Vanshita Banuana

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Kamala Harris: A Look At Joe Biden’s Running Mate

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Global Views 360

Publication Date

September 2, 2020

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Kamala Harris giving a speech

Kamala Harris giving a speech | Source: Twitter

On August 11, Democratic Party’s nominee for the US Presidential election. Joe Biden chose Kamala Harris as his running mate for vice president. Her selection preceded a lot of noises from within democratic party’s grass-root workers and progressive leaders to choose a woman of colour for the VP position. This was taken as a show of support for the progressive causes  for which Joe Biden nd Democratic Party stand with full force.

Here’s a look at the life and policies of Kamala Harris, who could be the first woman to occupy the position of Vice President of the USA.

Kamala Harris (L) with her mother—Shyamala Gopalan (C) and Sister—Maya Harris (L) | Source: IndiaAbroad

Kamala Harris was born to immigrant parents who came to the USA as students in the 1960s and stayed on to fulfil their dreams. Her Father came from Jamaica in 1961 to pursue economics from UC Berkeley, while her mother came from India in 1958 to pursue research in endocrinology and breast cancer, also from UC Berkeley. They met and married during the social protest movement in the 1960s but got separated while Kamala was only seven years old. Her mother never remarried and took great care of Kamala and her sister Maya.

Kamala’s mother belonged to one of the highest social classes, the Tamil Brahmin but raised both of her daughters as Black American. She kept her contact with the family back in Chennai (earlier known as Madras), India, which continued with Kamala as well.

Kamala spent much of her childhood in Montreal, Quebec, Canada after her parents divorce. After graduating high school she attended Howard University, a historically Black college in Washington, D.C. She is also a member of Alpha Kappa Alpha, a well-known Black sorority. She married Douglas Emhoff, an attorney, in 2014. Her sister is currently a lawyer, an MSNBC political analyst, and has worked with Clinton’s 2016 presidential campaign.

She was the district attorney general of San Francisco and attorney general of California, and was the first Black woman to hold those positions. She went into the profession apparently because she wanted to change the law enforcement system from the inside. Over the years she has repeatedly referred to herself as a “top cop,” though she also prefers “progressive prosecutor.” She became a member of the Senate and has been running for President since 2016.

Her stance on several policies has changed over the years. During her prosecutor years she occupied a classic centrist stance: she supported some reforms to the criminal justice system, which was unique in an era of “tough on crime” policies (that often had racist undertones), but at the same time she tried to keep favour with police officers and unions— perhaps due to her nature as a prosecutor, and was often silent on bills which might have be seen as too polarised towards one end of the spectrum.

Her more well-acclaimed decisions came in the form of programs such as anti-bias training, Open Justice and Back on Track. Open Justice is an online portal that makes various criminal justice data, such as deaths and injuries in police custody, available to the public. Back on Track was about a year long program aimed at young and first-time low-level offenders, offering to waive jail time if they went to school, got a job, and other such goals.

It might be worth noting that a lot of Harris’ actions focus on what can be done after an arrest is made and before incarceration, which inherently means that reducing police brutality and reforming prisons have not yet been great strengths of hers. Since the beginning of the Black Lives Matter movement, civil rights activists have looked up to Harris, a Black woman in a position of power, to lead the change in terms of legislature, but have come out with mixed results. Most of them feel that Harris strives for some reform but never gets too bold, and essentially ends up upholding the status quo.

For instance, around 2015, she made body-worn cameras mandatory for all of the small percentage of special agents employed by the attorney general, but did not support a bill to make them mandatory for all police officers in California, stating that she opposed a “one-size-fits-all approach.” Some of her other decisions while she was a prosecutor have been questioned in recent debates, such as her anti-truancy law, and the evolution of her opinion on marijuana.

Harris has spoken out in support of Kashmiris under Indian occupation after the revocation of article 370. Biden has been critical of the Citizenship Amendment Act. However, she has also described the India-US relationship as “unbreakable”, and even tweeted a welcome message for Indian Prime Minister Narendra Modi on his visit to India in June 2017.

Biden’s choice of Harris as his running mate for vice president is considered by her supporters as symbolic and historic due to her identity as a Black Asian-American and the representation she brings to a powerful stage. Her critics however, have been skeptical due to her career as someone who worked very closely with law enforcement.

Harris, like any other politician, has a checkered past which deserves scrutiny. Those who are rooting for or against her deserve to know about the different aspects of her political, social and other policy positions which helped evolve into the politician she is today and the direction in which she is expected to move in the future. This will be essential for her to appeal to a wider population and add to the votes for Joe Biden in the November 2020 Presidential poll.

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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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