Artificial Knowing: Gender and the Thinking Machine by Alison Adam

By Alison Adam

Artificial Knowing demanding situations the masculine slant within the man made Intelligence (AI) view of the area. Alison Adam admirably fills the massive hole in technological know-how and expertise reviews through displaying us that gender bias is inscribed in AI-based desktops. Her therapy of feminist epistemology, targeting the guidelines of the understanding topic, the character of data, rationality and language, are sure to make an important and robust contribution to AI studies.
Drawing from theories by way of Donna Haraway and Sherry Turkle, and utilizing instruments of feminist epistemology, Adam presents a sustained critique of AI which curiously re-enforces a few of the conventional criticisms of the AI undertaking. Artificial Knowing is an esential learn for these attracted to gender stories, technology and know-how reviews, and philosophical debates in AI.

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Extra resources for Artificial Knowing: Gender and the Thinking Machine

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It is not difficult to see how the concepts behind expert systems relate to the older micro-worlds idea. An expert system applies to a bounded or restricted area of knowledge. It is not a general problem solving system and will only work for that domain; it does not have any common sense. But to some extent that is where its strength lies, for if an expert system is designed for one narrow job then we only have to concentrate on acquiring and representing the knowledge for that particular area.

Just at the moment when feminism has fought and begun to win its battles against male hegemony, in other words when it has managed to declare women’s right to be taken seriously as subjects, postmodernism suspiciously declares the ‘death of the subject’. A second issue concerns the will to pluralism in postmodern thought which, at least on the surface, appears very desirable. Although both postmodernism and standpoint theory share the view that knowledge is historically and geographically created, where standpoint theory wants to continue to distinguish between true and false, good and bad - essentially to make moral judgements postmodernism sees criteria of good and bad as part of the enlightenment 27 FEMINIST RESOURCES project, criteria which cannot be read outside their historical circumstances.

For instance the symbol ‘dog’ could represent a particular furry animal walking along the road. Having a symbol stand for something else is therefore hardly unique to AI; the whole of mathematical terminology is based on this notion, as are structural approaches to linguistics (Sellers 1991: 2). Yet there are special things about the symbolic style of AI which go beyond the common sense use of symbols. Not only does this approach rest on the use of symbols, but more importantly it also rests on the possibility that cognition can be described in terms of structures of physical symbols and the processes that act upon them, which is analogous to what goes on in a computer.

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