Face recognition In order to be able to recognize a person, one commonly looks at this persons face, for it is there where the visual features which distinguish one person from another are concentrated. Eyes in particular seem to tell a story not only about who somebody is, but also about how that persons feel, where his / her attention is directed, etc. People who do not want to show who they are or what is going on inside of them must mask themselves. Consequently, face recognition is a kind of electronic unmasking. "Real" face-to-face communication is a two-way process. Looking at somebody's face means exposing ones own face and allowing the other to look at oneself. It is a mutual process which is only suspended in extraordinary and voyeuristic situations. Looking at somebody without being looked at places the person who is visually exposed in a vulnerable position vis-à-vis the watcher. In face recognition this extraordinary situation is normal. Looking at the machine, you only see yourself looking at the machine. Face biometrics are extracted anonymously and painlessly by a mask without a face. Therefore the resistance against the mass appropriation of biometrical data through surveillance cameras is confronted with particular difficulties. The surveillance structure is largely invisible, it is not evident what the function of a particular camera is, nor whether it is connected to a face recognition system. In a protest action against the face recognition specialist Visionics, the Surveillance Camera Players therefor adopted the strategy of re-masking: in front of the cameras, they perfomed the play "The Masque of the Red Death" an adaption of Edgar Allen Poe's classic short story by Art Toad. According to Visionics, whose slogan is "enabling technology with a mass appeal", there are alrady 1.1 bn digitised face images stored on identification data banks world wide. When combined with wide area surveillance camera networks, face recognition is capable of creating a transparent social space that can be controlled by a depersonalised, undetected and unaccountable centre. It is a technology, of which the surveillance engeneers of sunken totalitarian regimes may have dreamt, and one that today is being adopted by democratic governments.

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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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