Saturday, July 25, 2020

Physics and Technological Revolutions

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Oem Trivedi

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Physics and Technological Revolutions

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Global Views 360

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July 25, 2020

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IBM Quantum Computer, an innovation based on Quantum Physics

IBM Quantum Computer, an innovation based on Quantum Physics | Source: IBM Research via Flickr

As he witnessed the first detonation of a nuclear weapon on July 16, 1945, a piece of ancient Scripture “Bhagwad Geeta” ran through the mind of Robert Oppenheimer: “Now I am become Death, the destroyer of worlds”. Oppenheimer, alongside the likes of Richard Feynman, Enrico Fermi, George Gamow, was part of the star-studded Physicist squad behind the Manhattan Project.

The biggest implications drawn from the end of WW2 for many might have just been the incoming power Struggle between the US and Soviet Union, but for your average American it went to a great length to show that Physicists form a breed of people who can build dangerously effective technology.

That fact, however, would have been evident to anyone with a brisk walk through Human History itself. Physicists have arguably provided the most significant contributions to the Technological Development of our race. From Archimedes building light reflectors to save the Greek Army from Roman Infiltration to the large-scale Ballistic Missile systems made during WW-II, weaponry technology has been highly influenced by physicists in every generation.

But mere list of armaments cannot do justice to the role played by Physics Research in Technological Developments of our society. To get a feel for that, let’s go back to the fathers of Modern Physics as we know it; Sir Isaac Newton and Galileo Galilei. Galileo had his long list of achievements in creating cutting edge technology of the day, ranging from Telescopes to Thermometers & the Magnetic Compass. Sir Isaac for his part was the reason behind the advent of the Industrial Revolution in Great Britain!

The simple Atwood Machines which have today become mainstay material taught to College Freshman and High School Seniors worldwide, were actually the kind of mechanical models on which the large-scale Factory Machines were built. Newton’s laws kickstarted the modern Technological Revolution and ever since then, Physics has been a constant source of inspiration behind all Technology.

The great pioneers in the field “Natural Philosophy” (the physics of today) after Newton continued the trend which their illustrious predecessor had started. The seminal works on Thermodynamics by the likes of Lord Kelvin, Ludwig Boltzmann, James Clerk Maxwell etc. played the decisive part in creating automobile engines and really any technology which dealt with heat (Spoiler Alert- There were a lot of them!). Maxwell’s work on the famous equations on Electromagnetism now named after him played the most significant part in the mission of making Electricity available to everyone (a conquest now just famously remembered for the fight between Nikola Tesla and Thomas Edison).

While one can point out that Theoretical works cannot lead to new Technology on their own, that assertion is only the half-truth. Sure, building technology on the basis of theoretical physics is mostly down to the Engineers, but one cannot underestimate the effect new theoretical developments and their possible uses have on the construction of new technologies. After all, if one was not able to understand the principles of the conversion of mass to energy or Electric & Magnetic Fields are coupled to each other, then expecting the construction of Nuclear Reactors and virtually all Electric Tech today would have been off the table.

So one might ask, what are the new theoretical ideas which can guide the next leap forward technologically? Well, no one can be quite sure of the form which technology will take in even a couple of decades (who would have thought that Server systems designed for efficiently using giant Data in CERN would one day be heavily used for making memes!).

I would go as far as to say that we have not yet completely exhausted the technological possibilities of the Special Theory of Relativity itself, the most prominent example of game changing technology based on that has been GPS Communication systems. One can hence fail to even imagine the kind of technological (and Industrial) progress technologies built on the revealing concepts from General Relativity and Quantum Mechanics can bestow upon us (I’m even refraining to comment on the Quantum Field Theoretic parts!).

Whatever that physics will lead us to is a mystery time will be most suited to answer, but one can see the effects of Quantum Mechanics in the next Computational Revolution itself; Quantum Computing. To put into perspective the extent of development Quantum Computing can bestow upon us, consider the following.

Computational devices today, which are stronger than the computers which put humans to the moon, are fundamentally built upon binary bit systems. From generating Big Bang like Energies in CERN and reaching past Saturn, to making all the knowledge available to everyone has been done in two bits. While Quantum Computers, which are being vividly researched on, can work with virtually infinite bits ! So, hold on tight as exciting new physics promises some large-scale changes on our Civilization as a whole.

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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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