The century of big data will be the century of unprecedented surveillance. The dream of tyrants down through history has been the total monitoring, control and management of the public, with the ability to predict the behaviour of entire populations the most efficient means of achieving this objective. For millennia, this has mainly existed in the realm of fantasy, however with the vast leap in technology in recent decades, this idea is becoming less a dystopian science fiction movie and more the daily business of totalitarian high-tech regimes.
Most readers are now familiar with the predatory surveillance practices of agencies such as the NSA and GCHQ, which high-level NSA whistleblower William Binney describes as totalitarian in nature, adding that the goal of the NSA is to set up the way and means to control the population. Yet many people may not be aware of the next phase in 21st century surveillance grid; the smarter city.
Promoted by some as a low-cost and efficient way of managing the workings of a city, others see the surveillance implications of such initiatives as chilling to say the least. Smart cities are broadly defined as digitally connected urban areas filled with ubiquitous sensors, monitors and meters, which collect data on every aspect of the city; from energy usage, to transport patterns. This data is then analysed and used by city planners to improve decision making.
Today, more than half the worlds population lives in urban areas a trend that is set to accelerate into the future meaning the smart city concept is going to affect the lives of billions of people around the world. India is at the forefront of this push as it plans to build 100 smart cities in the coming years, with Singapore set to become the worlds first smart nation. Smart cities are not just confined to Asia however, as Glasgow (where Im writing from), Rio de Janeiro, New Orleans and Cape Town are just a handful of cities involved in IBMs smarter cities challenge.
Privacy in a Smart City
The global move towards a smarter planet is a worrying prospect for many who are concerned with the growing erosion of privacy in the modern world. Can privacy exist in a smart city where every corner and crevice of the urban environment is fitted with digital sensors collecting data on every movement of the city 24 hours a day?
Furthermore, many of the supporters and proponents of smart initiatives are multinational corporations and notorious foundations, including IBM, Siemens, Cisco and the Rockefeller Foundation. The notion of corporate giants managing a smarter planet becomes even more troubling when you consider the history of companies such as IBM, which played a pivotal role in the holocaust and worked closely with Nazi Germany. Given IBMs dark history, should we trust it with the power to regulate and manage numerous cities around the world?
The Age of Big Data and Predictive Policing
The amount of data generated in recent years has skyrocketed, with IBM CEO Ginni Rometty noting in a 2013 speech that 90% of all the data ever known to man has been created in the last two years. With this trend only set to continue into the future, the race is now on to develop systems to accurately predict the behaviour of entire populations through scanning copious volumes of data for behavioural patterns.
In Australia, the federal crime commission is now using big data systems to analyse patterns of behaviour in a quest to predict criminal activities before they occur. It seems the world is moving closer to the themes in the 1950s science fiction story by Philip K. Dick and the later film adaptation of the work, The Minority Report.
It is not just Australia however that is engaged in such activities, as the Los Angeles Police Department (LAPD) has a division called the Real-Time Analysis and Critical Response Division (RACR). The RACR uses cutting-edge algorithmic systems and analytics in an attempt to predict future crime. British police in Kent have also been using a precrime software program called Predpol for two years, which analyses crimes based on date, place and category of offence, in order to assist police in making decisions on patrol routes.
The ethical and moral questions of the move towards predictive policing are obvious, leading many to fear a potential tyranny of the algorithm in the future. With big data being used in the field of law enforcement to surveil and attempt to predict criminal behaviour, you can be assured that intelligence agencies and corporations will be using big data in the futuristic smart city to monitor and predict the behaviour of the citys population.
Source: Global Research
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