Sunday, July 19, 2020

Has Hollywood finally decided to fight “Reel Life Racism”

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Syed Ahmed Uzair

Article Title

Has Hollywood finally decided to fight “Reel Life Racism”

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Global Views 360

Publication Date

July 19, 2020

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Al Jolson in Warner Bros. publicity photo for the film The Jazz Singer (1927)

Al Jolson in Warner Bros. publicity photo for the film The Jazz Singer (1927) | Source: Wikimedia

Back in the 1960s, when the Civil Rights Movement was slowly gaining momentum in the United States, broadcasting services were employed to gather support for the movement. Images of various kinds of atrocities and violence being rendered to nonviolent Black demonstrators were broadcasted into American houses to raise awareness about the movement.

However, the response of Hollywood so far can be explained in a single word- tragic! Hollywood as a major media and content producer has massively shaped the American culture. However it has not much to show as a positive influence on race issues.

A classic 1940’s musical movie, Holiday Inn had the famous song in which White stars performed in blackface. In a 1980s hit, “Indiana Jones and the Temple of Doom” the Indians are depicted as barbaric and uncivilised. The list of such racial stereotypes is huge to be reproduced here.

Legendary Hollywood actor John Wayne made highly offensive comments in a playboy interview. His exact words are, “I believe in white supremacy until the Blacks are educated to a point of responsibility. I don't believe in giving authority and positions of leadership and judgment to irresponsible people.” He further goes on to make a series of comments, that ideally should not be coming from someone with so much influence in Hollywood.

Many legendary actors and industry icons too have struggled due to racism in Hollywood. Bruce Lee is a fine example of a person who fought against racism in the industry and refused to be cast in many roles that portrayed Chinese people in a negative light. He ultimately moved back to Hong Kong, partly due to the lack of appropriate roles. Actress Lucy Liu has also spoken about how she was too naïve to understand back in the early days as to why her friend would get multiple auditions every day, while she managed two or three in a month.

In 2015, there was a massive uproar regarding the Oscar winners after the academy awarded all 20 nominations to white actors. It quickly gained momentum with the hashtag #OscarsSoWhite becoming a global trend. Before #OscarsSoWhite, no one would have bothered to notice that 86% of top films predominantly featured white actors.

As per a Washington Post survey, film directors who ranked as the most influential decision-makers at Hollywood were predominantly whites. Hollywood might stress for newer reforms against racism on the big screen but that is not the reality at all. To put things into perspective, the Hollywood academy has never revealed information about the diversity of its members involved in the branches of the academy, such as writers, directors, etc.

The response of Hollywood movers and shakers was always akin to a tokenism, a call to push for producing more content involving black writers, producers, and actors.

George Floyd’s death was just the trigger it needed to burst out in the open the pent up anger over the centuries of discrimination, oppression, and systematic injustice meted out to black people. The way black people are portrayed in reel life directly impacts society’s attitude towards them in real life.

People started demanding that Hollywood production companies and studios should involve the people from the community in the decision-making process when the movie plot is based considerably on the members of those communities. They have also demanded that older movies depicting racially insensitive narratives should be taken out of circulation.

Disney, one of the most reputed names in Hollywood, chose to remove the movie “Song of the South” from US distribution, when the criticism for the movie grew, even though it remains available for those who know where to look. They have also announced the plan to revamp the famous Splash Mountain ride at Disneyland and Disney World to include the character of Princess Tiana- Disney’s first African American princess from the movie The Princess and the Frog.

UK TV broadcaster Sky has added a disclaimer to approximately a dozen films stating, “This film has outdated attitudes, language and cultural depictions which may cause offence today."

HBO max recently pulled the iconic film, Gone with the wind because of its controversial depiction of black stereotypes. It returned with a four and a half minute introductory video by black scholar Jaqueline Stewart for a better understanding about racism.

Ever since the resurfacing of the playboy interview of John Wayne, students and alumni at USC have been protesting against Wayne’s exhibit at the campus. However, USC has finally decided to remove the exhibit.

All these reforms are a direct result of the audience being more and more aware of racism and prejudice. However, it is Hollywood’s turn to step up and push for bigger reforms. While it would be a challenging and bold endeavor, Hollywood’s global influence makes it imperative for the industry to undergo much-needed reforms.

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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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