Copyright Management and Control Systems: Metering Metering systems allow copyright owners to ensure payment to or at the time of a consumer's use of the work. Those technologies include: Hardware Devices Those have to be acquired and installed by the user. For example under a debit card approach, the user purchases a debit card that is pre-loaded with a certain amount of value. After installation, the debit card is debited automatically as the user consumes copyrighted works. Digital Certificates Hereby a certification authority issues to a user an electronic file that identifies the user as the owner of a public key. Those digital certificates, besides information on the identity of the holder can also include rights associated with a particular person. Vendors can so control access system resources, including copyrighted files, by making them available only to users who can provide a digital certificate with specified rights (e.g. access, use, downloading). Centralized Computing Under this approach all of the executables remain at the server. Each time the executable is used, the user's computer must establish contact with the server, allowing the central computer to meter access. Access Codes Access code devices permit users to "unlock" protective mechanisms (e.g. date bombs or functional limitations) embedded in copyrighted works. Copyright owners can meter the usage of their works, either by unlocking the intellectual property for a one-time license fee or by requiring periodic procurement of access codes. Copyright Clearinghouses Under this approach copyright owners would commission "clearinghouses" with the ability to license the use of their works. A user would pay a license fee to obtain rights concerning the intellectual property.

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1980s: Artificial Intelligence (AI) - From Lab to Life Following the commercial success of expert systems, which started in the 1970s, also other AI technologies began to make their way into the marketplace. In 1986, U.S. sales of AI-related hardware and software rose to U.S.$ 425 million. Especially expert systems, because of their efficiency, were still in demand. Yet also other fields of AI turned out to be successful in the corporate world. Machine vision systems for example were used for the cameras and computers on assembly lines to perform quality control. By 1985 over a hundred companies offered machine vision systems in the U.S., and sales totaled U.S.$ 80 million. Although there was a breakdown in the market for AI-systems in 1986 - 1987, which led to a cut back in funding, the industry slowly recovered. New technologies were being invented in Japan. Fuzzy logic pioneered in the U.S. and also neural networks were being reconsidered for achieving artificial intelligence. The probably most important development of the 1980s was, that it showed that AI technology had real life uses. AI applications like voice and character recognition systems or steadying camcorders using fuzzy logic were not only made available to business and industry, but also to the average customer.

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Copyright management information Copyright management information refers to information which identifies a work, the author of a work, the owner of any right in a work, or information about the terms and conditions of the use of a work, and any numbers or codes that represent such information, when any of these items of information are attached to a copy of a work or appear in connection with the communication of a work to the public.

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Expert system Expert systems are advanced computer programs that mimic the knowledge and reasoning capabilities of an expert in a particular discipline. Their creators strive to clone the expertise of one or several human specialists to develop a tool that can be used by the layman to solve difficult or ambiguous problems. Expert systems differ from conventional computer programs as they combine facts with rules that state relations between the facts to achieve a crude form of reasoning analogous to artificial intelligence. The three main elements of expert systems are: (1) an interface which allows interaction between the system and the user, (2) a database (also called the knowledge base) which consists of axioms and rules, and (3) the inference engine, a computer program that executes the inference-making process. The disadvantage of rule-based expert systems is that they cannot handle unanticipated events, as every condition that may be encountered must be described by a rule. They also remain limited to narrow problem domains such as troubleshooting malfunctioning equipment or medical image interpretation, but still have the advantage of being much lower in costs compared with paying an expert or a team of specialists.

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