Databody convergence

In the phrase "the rise of the citizen as a consumer", to be found on the EDS website, the cardinal political problem posed by the databody industry is summarised: the convergence of commercial and political interest in the data body business, the convergence of bureaucratic and commercial data bodies, the erosion of privacy, and the consequent undermining of democratic politics by private business interest.

When the citizen becomes a consumer, the state must become a business. In the data body business, the key word behind this new identity of government is "outsourcing". Functions, that are not considered core functions of government activity are put into the hands of private contractors.

There have long been instances where privately owned data companies, e.g. credit card companies, are allowed access to public records, e.g. public registries or electoral rolls. For example, in a normal credit card transaction, credit card companies have had access to public records in order to verify identity of a customer. For example, in the UK citizen's personal data stored on the Electoral Roll have been used for commercial purposes for a long time. The new British Data Protection Act now allows people to "opt out" of this kind of commercialisation - a legislation that has prompted protests on the part of the data industry: Experian has claimed to lose LST 500 mn as a consequence of this restriction - a figure that, even if exaggerated, may help to understand what the value of personal data actually is.

While this may serve as an example of an increased public awareness of privacy issues, the trend towards outsourcing seems to lead to a complete breakdown of the barriers between commercial and public use of personal data. This trend can be summarised by the term "outsourcing" of government functions.

Governments increasingly outsource work that is not considered core function of government, e.g. cooking meals in hospitals or mowing lawns in public parks. Such peripheral activities marked a first step of outsourcing. In a further step, governmental functions were divided between executive and judgemental functions, and executive functions increasingly entrusted to private agencies. For these agencies to be able to carry out the work assigned to them, the need data. Data that one was stored in public places, and whose handling was therefore subject to democratic accountability. Outsourcing has produced gains in efficiency, and a decrease of accountability. Outsourced data are less secure, what use they are put to is difficult to control.

The world's largest data corporation, EDS, is also among the foremost outsourcing companies. In an article about EDS' involvement in government outsourcing in Britain, Simon Davies shows how the general trend towards outsourcing combined with advances in computer technology allow companies EDS, outside of any public accountability, to create something like blueprints for the societies of the 21st century. But the problem of accountability is not the only one to be considered in this context. As Davies argues, the data business is taking own its own momentum "a ruthless company could easily hold a government to ransom". As the links between government agencies and citizens thin out, however, the links among the various agencies might increase. Linking the various government information systems would amount to further increase in efficiency, and a further undermining of democracy. The latter, after all, relies upon the separation of powers - matching government information systems would therefore pave the way to a kind of electronic totalitarianism that has little to do with the ideological bent of George Orwell's 1984 vision, but operates on purely technocratic principles.

Technically the linking of different systems is already possible. It would also create more efficiency, which means generate more income. The question, then, whether democracy concerns will prevent it from happening is one that is capable of creating

But what the EDS example shows is something that applies everywhere, and that is that the data industry is whether by intention or whether by default, a project with profound political implications. The current that drives the global economy deeper and deeper into becoming a global data body economy may be too strong to be stopped by conventional means.

However, the convergence of political and economic data bodies also has technological roots. The problem is that politically motivated surveillance and economically motivated data collection are located in the same area of information and communication technologies. For example, monitoring internet use requires more or less the same technical equipment whether done for political or economic purposes. Data mining and data warehousing techniques are almost the same. Creating transparency of citizens and customers is therefore a common objective of intelligence services and the data body industry. Given that data are exchanged in electronic networks, a compatibility among the various systems is essential. This is another factor that encourages "leaks" between state-run intelligence networks and the private data body business. And finally, given the secretive nature of state intelligence and commercial data capturing , there is little transparency. Both structures occupy an opaque zone.

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Extract of Disney’s Content Production and Distribution Holdings

Although the traditional media companies first steps into the digital sphere were fairly clumsy, they have quickly learned from their mistakes and continued to enlarge their Internet presence. Time Warner now for instance operates about 130 Web-Sites (http://www.timewarner.com/corp/about/pubarchive/websites.html). Anyhow the stronger online-engagement of the big media conglomerates by 1998 has led to the establishment of a new pattern: "More than three-quarters of the 31 most visited news and entertainment websites were affiliated with large media firms, and most of the rest were connected to outfits like AOL and Microsoft." (Broadcasting and Cable, 6/22/98).

During the last years many of the smaller players in the field of digital media have been driven out of competition by the huge media conglomerates. This mainly is a result of the advantages that the commercial media giants have over their less powerful counterparts:

    As engagement in online activities mostly does not lead to quick profits, investors must be able to take losses, which only powerful companies are able to.



    Traditional media outlets usually have huge stocks of digital programming, which they can easily plug into the Internet at little extra cost.



    To generate audience, the big media conglomerates constantly promote their Websites and other digital media products on their traditional media holdings.



    As possessors of the hottest "brands" commercial media companies often get premier locations from browser software makers, Internet service providers, search engines and portals.



    Having the financial resources at their disposition the big media firms are aggressive investors in start-up Internet media companies.



Commercial media companies have close and long ties to advertisers, which enables them to seize most of these revenues.

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Artificial Intelligence

Artificial Intelligence is concerned with the simulation of human thinking and emotions in information technology. AI develops "intelligent systems" capable, for example, of learning and logical deduction. AI systems are used for creatively handling large amounts of data (as in data mining), as well as in natural speech processing and image recognition. AI is also used as to support decision taking in highly complex environments.
Yahoo AI sites: http://dir.yahoo.com/Science/Computer_Science/Artificial_Intelligence/
MIT AI lab: http://www.ai.mit.edu/


http://dir.yahoo.com/Science/Computer_Science...
http://www.ai.mit.edu/
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Calculator

Calculators are machines for automatically performing arithmetical operations and certain mathematical functions. Modern calculators are descendants of a digital arithmetic machine devised by Blaise Pascal in 1642. Later in the 17th century, Gottfried Wilhelm von Leibniz created a more advanced machine, and, especially in the late 19th century, inventors produced calculating machines that were smaller and smaller and less and less laborious to use.

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