Private data bunkers On the other hand are the data bunkers of the private sector, whose position is different. Although these are fast-growing engines of data collection with a much greater degree of dynamism, they may not have the same privileged position - although one has to differentiate among the general historical and social conditions into which a data bunker is embedded. For example, it can safely be assumed that the databases of a large credit card company or bank are more protected than the bureaucracies of small developing countries. Private data bunkers include Banks Building societies Credit bureaus Credit card companies Direct marketing companies Insurance companies Telecom service providers Mail order stores Online stores

TEXTBLOCK 1/2 // URL: http://world-information.org/wio/infostructure/100437611761/100438659735

Challenges for Copyright by ICT: Internet Service Providers ISPs (Internet Service Providers) (and to a certain extent also telecom operators) are involved in the copyright debate primarily because of their role in the transmission and storage of digital information. Problems arise particularly concerning caching, information residing on systems or networks of ISPs at the directions of users and transitory communication. Caching Caching it is argued could cause damage because the copies in the cache are not necessarily the most current ones and the delivery of outdated information to users could deprive website operators of accurate "hit" information (information about the number of requests for a particular material on a website) from which advertising revenue is frequently calculated. Similarly harms such as defamation or infringement that existed on the original page may propagate for years until flushed from each cache where they have been replicated. Although different concepts, similar issues to caching arise with mirroring (establishing an identical copy of a website on a different server), archiving (providing a historical repository for information, such as with newsgroups and mailing lists), and full-text indexing (the copying of a document for loading into a full-text or nearly full-text database which is searchable for keywords or concepts). Under a literal reading of some copyright laws caching constitutes an infringement of copyright. Yet recent legislation like the DMCA or the proposed EU Directive on copyright and related rights in the information society (amended version) have provided exceptions for ISPs concerning particular acts of reproduction that are considered technical copies (caching). Nevertheless the exemption of liability for ISPs only applies if they meet a variety of specific conditions. In the course of the debate about caching also suggestions have been made to subject it to an implied license or fair use defense or make it (at least theoretically) actionable. Information Residing on Systems or Networks at the Direction of Users ISPs may be confronted with problems if infringing material on websites (of users) is hosted on their systems. Although some copyright laws like the DMCA provide for limitations on the liability of ISPs if certain conditions are met, it is yet unclear if ISPs should generally be accountable for the storage of infringing material (even if they do not have actual knowledge) or exceptions be established under specific circumstances. Transitory Communication In the course of transmitting digital information from one point on a network to another ISPs act as a data conduit. If a user requests information ISPs engage in the transmission, providing of a connection, or routing thereof. In the case of a person sending infringing material over a network, and the ISP merely providing facilities for the transmission it is widely held that they should not be liable for infringement. Yet some copyright laws like the DMCA provide for a limitation (which also covers the intermediate and transient copies that are made automatically in the operation of a network) of liability only if the ISPs activities meet certain conditions. For more information on copyright (intellectual property) related problems of ISPs (BBSs (Bulletin Board Service Operators), systems operators and other service providers) see: Harrington, Mark E.: On-line Copyright Infringement Liability for Internet Service Providers: Context, Cases & Recently Enacted Legislation. In: Intellectual Property and Technology Forum. June 4, 1999. Teran, G.: Who is Vulnerable to Suit? ISP Liability for Copyright Infringement. November 2, 1999.

TEXTBLOCK 2/2 // URL: http://world-information.org/wio/infostructure/100437611725/100438659550

Division of labor The term refers to the separation of a work process into a number of tasks, with each task performed by a separate person or group of persons. It is most often applied to mass production systems, where it is one of the basic organizing principles of the assembly line. Breaking down work into simple, repetitive tasks eliminates unnecessary motion and limits the handling of tools and parts. The consequent reduction in production time and the ability to replace craftsmen with lower-paid, unskilled workers result in lower production costs and a less expensive final product. The Scottish economist Adam Smith saw in this splitting of tasks a key to economic progress by providing a cheaper and more efficient means of producing economic goods.

INDEXCARD, 1/2

Neural network A bottom-up artificial intelligence approach, a neural network is a network of many very simple processors ("units" or "neurons"), each possibly having a (small amount of) local memory. The units are connected by unidirectional communication channels ("connections"), which carry numeric data. The units operate only on their local data and on the inputs they receive via the connections. A neural network is a processing device, either an algorithm, or actual hardware, whose design was inspired by the design and functioning of animal brains and components thereof. Most neural networks have some sort of "training" rule whereby the weights of connections are adjusted on the basis of presented patterns. In other words, neural networks "learn" from examples and exhibit some structural capability for generalization.

INDEXCARD, 2/2