Friday, October 23, 2020

Male gaze, their female guardians and sports-wear

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Varisha Tariq

Article Title

Male gaze, their female guardians and sports-wear

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Global Views 360

Publication Date

October 23, 2020

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Image Showing feminist symbols

Image Showing feminist symbols | Source: rawpixel.com via Freepik

In Helen Cixous’ essay, ‘The Laugh of Medusa’, she urges women to redefine what their body means to them, not just physically but also socially, emotionally and politically. This could happen by re-writing about your body in a way you deem  fit, the expression you identify with and separating it from how your body has been written about by men. The expression could be how you view your body separate from the patriarchal lense.

It is no secret that a woman’s body is subject to critique. While clothing for men is just a tool to cover themselves as per the surrounding environment, clothing for women isa social and political narrative that dictates their life or as we affectionately call it ‘culturally appropriate’.

The clothing style could vary. It could be a woman covered head to toe in a Burqa, it could be a woman who decides to wear sports-wear in a park or it could be jeans and a top. Everything is critically evaluated by men and by women who work towards protecting the male gaze.

The male gaze is a heterosexual way of looking at female bodies that sexualises these bodies into an object. It is a gaze that runs on the self-affirmative notion that the bodies of women, and what they do with it, is directly linked to how they  appear in front of a man.

In a recent incident in Bangalore, India, popular Indian actress Samyuktha Hegde was abused and threatened by senior political leader of the congress party, Kavitha Reddy,  for wearing sports-wear, in Bangalore’s Agara Lake park. She was exercising with her friend.

Kavitha Reddy initially claimed she was in indecent attire and went onto morally police and then later abused the actress and her friend.  A supposedly progressive political leader gets uncomfortable by what women are wearing. It breaks into an argument and a fight where the politician is supported by five to six men. Later on, the police appear to be appeasing the politician instead of the women who were harassed. Although she did apologise, her apology came after her video went viral, and as a protection for her own political reputation.

To look at Samyuktha Hegde’s clothing as a threat is to view her clothing as an act of obscenity therefore bullying her identity and sense of agency and reducing her to sexual object, who, by putting her in public, apparently gives the men present a right to look at her? Nevermind that she was there to workout like everyone else, her actions were confused as to how men look at her. In the video posted by the actress, the politician is surrounded by men who are championing her on. The politician choses to side with the patriarchal figures in shaming these women. Asking to protect from the male gaze is a far stretch but punishing women for the male gaze is where we should draw a line.

What roles does Kavitha Reddy play? She is the guardian of the male gaze. We find her in our mothers, in our grandmothers, in aunties and sometimes our friends. She understands a woman’s body as an object that is there to be looked at by men. She gets angry at women for wearing certain kinds of clothing but she is not angry at men for looking. The agency in this case always belongs to men.

When Cixous asks women to re-define their identity, she urges us to strangle the moral police that comes alive in such instances. It is the moral police that shames women for wearing clothes that don’t flatter their bodies or clothes that do flatter them. She urges us to reflect upon the source of such vigilance. Do we shame other women because we believe in what we are saying or our identity is partially (or  wholly) shaped by the male gaze?

Whether we chose to wear a burqa, or a dress, or variations of the new type clothing produced everyday, the crux of the matter is that it should not worry anyone apart from the one wearing it. The identity of a woman, sexual or otherwise, has to be redefined to be separated from the men and their gaze. We have to draw a line otherwise people in power will continue to abuse their power and preserve patriarchy and male gaze.

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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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