Saturday, August 22, 2020

Raising The Black Flag against Benjamin Netanyahu in Israel

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Vanshita Banuana

Article Title

Raising The Black Flag against Benjamin Netanyahu in Israel

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Global Views 360

Publication Date

August 22, 2020

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President Benjamin Netanyahu, Prime Minister of Israel

President Benjamin Netanyahu, Prime Minister of Israel | Source: Government Press Office, Israel

The past few months have seen an unprecedented uprising against Israeli Prime Minister Benjamin Netanyahu, owing to rapidly rising unemployment rates and mismanagement of the COVID-19 crisis. Protestors have been gathering at Netanyahu’s residences and demanding that he resign.

Many claim that while the government was initially able to control the spread of the coronavirus, it was too quick to reopen the economy, which led to a more devastating second wave of cases and ended up only hurting small businesses and employment even more. The crashing down of the economy and public healthcare system is touted as evidence of a selfish government which is too distant from the interests of its citizens.

Additionally, Netanyahu is facing trial for charges of corruption. Though the charges first began to surface back in 2016, the indictment came last November. On top of that, it is being alleged that Netanyahu is trying to leverage the pandemic to delay court hearings. In light of the corruption charges, calling Netanyahu “Crime Minister” has emerged as a popular slogan at the protests.

Anti-Government protest in Israel | Source: Middle East Monitor

The protests seem to be mostly organised and led by Israeli leftists, who hold up black flags representing their anti-Netanyahu, anti-corruption and pro-democracy stance. Some protestors have also taken to dressing up in space-themed costumes, in response to a comment by Netanyahu’s son calling the protestor’s “aliens.”

The biggests protests are those held regularly outside Netanyahu’s official residence in Jerusalem and his private home in the high-profile neighbourhood of Caesarea. The police presence at the protests has been heavy; clashes and arrests are common. Small international protests in support of the ones in Israel have been organised in the United States and Britain.

The protests usually bring a mixed crowd of those protesting corruption charges and business In terms of demographics, some have noted that religious Israelis and Israeli Arabs have been a minority presence in the protests, perhaps the former due to political leanings and the latter due to marginalisation and disenfranchisement. At the same time, the protests are being admired for bringing together citizens across political lines, religious beliefs, and ages, as well as the sight of many families attending protests together.

Protests against Netanyahu 2020 Jerusalem | Source: Nir Hirshman Communication via Wikimedia

The supposed political leanings of the majority of the protestors is the key argument Netanyahu has given while dismissing them, calling them “anarchists,” while also reportedly accusing local media of giving them more coverage than they deserve. He has also denied the allegations of corruption levelled against him.

There have been many reports of counter-protests by right-wing groups, often alongside the anti-Netanyahu ones. Supporters of Netanyahu, attempted to ram a car into a protest, called protestors “germs”,  pepper sprayed and attacked them with bottles and clubs. For now, the courts seem to be protecting the Israelis’ rights to freedom of speech and to protest from appeals to curtail the protests in any manner.

There is speculation regarding whether resignation is the “right” demand, since it seems unlikely that someone like Netanyahu will ever follow through on that. But the people of Israel are out in the streets in the thousands. They are called aliens or anarchists all day but denial is a facade that can only last for so long.

Benny Gantz leader of Blue and White Party | Source: Reuven Kapuchinsky via Wikimedia

Netanyahu is now the longest serving prime minister of Israel. He started the new term when his right-wing Likud party signed a coalition deal with Benny Gantz led Blue and White Party which provisioned 18 month long terms for both of them. Gantz’s term is to begin from November 2021 and some analysts predict that Netanyahu might hold early elections to deny prime ministership to Gantz and in the process, delay Israel’s next budget.

The biggest ally of Netanyahu so far in his political career was his luck which finally seems to desert him. He might be thinking that the protests can be waited out and accountability can be avoided. However this time, his political instinct and survival skill may come up short in the face of determined opposition from the common citizens of Israel.

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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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