Tuesday, June 23, 2020

The US-Taliban Deal: A ray of hope for the battered Afghans

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Aditi Mohta

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The US-Taliban Deal: A ray of hope for the battered Afghans

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Global Views 360

Publication Date

June 23, 2020

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US Secretary of State Michael R. Pompeo participates in a signing ceremony in Doha, Qatar, on February 29, 2020

US Secretary of State Michael R. Pompeo participates in a signing ceremony in Doha, Qatar, on February 29, 2020 | Source: U.S. Department of State  via Wikimedia

On 11 September 2001, the attacks on the World Trade Centre and Pentagon in America killed over 3000 people for which Osama Bin Laden, the head of Al-Qaeda, claimed responsibility.. Osama Bin Laden was based in Afghanistan during this attack and was protected by the government of the day which was run by the radical Islamist group Taliban. Even after the repeated demands from the USA government, Taliban refused to hand over Osama bin Laden to the USA. 

George W. Bush, the president of America at that point of time, announced the first airstrikes against Afghanistan on 7 October 2001. As other countries joined in, the Taliban were quickly removed from power and a new pro-western government was installed. The new government, however, was never able to run its writ over the whole country. The Taliban regrouped and started gaining influence in the vast rural areas and continuously attacked the US-led international military coalition as well as Afghan forces. From that point onward, the U.S. and its allies have battled to stop Afghanistan's administration crumbling and to end attacks by the Taliban. 

After more than eighteen years of war in Afghanistan, on 29 February 2020, the United States and Taliban signed a peace deal which was the first step in ending the war. The agreement was signed in the Qatari capital Doha between Talibani political chief Mullah Abdul Ghani Baradar and U.S. special envoy Zalmay Khalilzad. The U.S. Defence Secretary Mark Esper said that signing of the accord would be a good step to end the war, the road ahead would not be secure. There would be a full withdrawal of all U.S. and coalition forces from Afghanistan within 14 months since the signing of the deal. The Taliban promised to cut ties with Al Qaeda and keep fighting the militant Islamic State group.  

What is in the peace agreement?

The peace agreement was signed after nine rounds of discussion and it contains four main points: cease-fire, withdrawal of foreign forces, intra-Afghan negotiations, and counter-terrorism assurances. 

  1. Cease-fire: The negotiators agreed to a temporary reduction in violence. They said that a permanent and comprehensive cease-fire will be an item on the agenda of the intra-Afghan dialogue and negotiations. 
  2. Withdrawal of foreign forces: Within the first 135 days, the U.S. will reduce its troops in Afghanistan from roughly 12,000 to 8,600, along with the allies of the U.S. also withdrawing their forces proportionately. If the Taliban follows through all the commitments that in the peace deal, all the U.S. troops along with the allies' troops will leave Afghanistan within fourteen months. 
  3. Counter-terrorism assurances: The United States invaded Afghanistan after the 9/11 attacks, mainly to eliminate the threat of terrorism and halt terrorist activities in the country. As a part of the agreement, the Taliban guaranteed that Afghanistan would not be used by any of its members or terrorist groups to threaten the security of the U.S. and its allies. 
  4. Intra-Afghan negotiations: The reason behind the intra-Afghan talks is to bring together negotiators from the Taliban and Afghan government. The peace deal also calls for an exchange of prisoners before the intra-Afghan negotiations. The intra-Afghan talks which were supposed to take place in March 2020, have been delayed. 

Challenges to the peace deal

While this deal can be seen as a stepping stone towards a more comprehensive agreement, many difficulties may come in the way. 

The United States and the Taliban had consented to the arrival of up to 5000 Taliban prisoners in return for up to one thousand Afghan security forces. However, the Afghan government said that it had not agreed on such an exchange. The process can become difficult due to a weak central government along with ethnic, tribal and sectarian differences. At the same time, many people say that the Taliban has gotten more than it gave up. 

Through the deal, the Taliban got their primary wish: removal of American troops from Afghanistan. Yet, they had failed to be specific about the civil rights that they had repressed when they were in power. The insurgents pledged to keep international terrorist groups like Al Qaeda from using Afghanistan as their base for attacks. 

The United States promised to work towards the gradual removal of Taliban leaders from the sanction blacklists of America and the United Nations. At the same time, the experts say that the Taliban is stronger than ever at this point. It controls many districts throughout the country and continues to launch significant attacks including in Kabul and on Afghan security forces. 

The peace process is also faced by the problem of the illegal drug trade. According to Afghan officials, more than 20 terrorist groups still operate inside the country, which is another threat to the deal. By signing the agreement, the U.S. and the Taliban state their commitment to reduce violence and not attack each other. What remains a worry is how much and how long the Taliban will hold fire on Afghan security forces before the cease-fire is finally reached in Afghan negotiations.

Sources that were used:

  1. https://www.nytimes.com/2020/02/29/world/asia/us-taliban-deal.html
  2. http://diplomatist.com/2020/05/16/us-taliban-peace-deal-and-its-implications-for-central-asia/
  3. https://www.aljazeera.com/indepth/interactive/2020/02/war-afghanistan-2001-invasion-2020-taliban-deal-200229142658305.html
  4. https://www.bbc.com/news/world-asia-51689443
  5. https://www.dawn.com/news/1529415
  6. https://www.cfr.org/backgrounder/us-taliban-peace-deal-agreement-afghanistan-war
  7. https://www.aljazeera.com/news/2020/02/afghanistan-taliban-sign-deal-america-longest-war-200213063412531.html
  8. https://www.dawn.com/news/1537384
  9. https://www.washingtonpost.com/context/u-s-taliban-peace-deal/7aab0f58-dd5c-430d-9557-1b6672d889c3/?itid=lk_inline_manual_3

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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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