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 technology and know-how reports by way of displaying us that gender bias is inscribed in AI-based desktops. Her therapy of feminist epistemology, targeting the guidelines of the figuring out topic, the character of information, rationality and language, are absolute to make an important and strong contribution to AI studies.
Drawing from theories via 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 expertise experiences, and philosophical debates in AI.
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Additional info for Artificial Knowing: Gender and the Thinking Machine
At this juncture feminists should be aware of some of the implications of the emphasis on stereotypes and in particular their potentially normative role. Much of the thrust of equal rights activities in the feminist and gay movements has been directed against cultural stereotypes of women and lesbians. The question is, who is to decide what these stereotypes should be? The restaurant script describing a type of stereotypical behaviour is made up by white, middle-class, middle-aged North American university professors.
On the one hand, postmodernism challenges the standpoint position’s claim that the oppressed must always have a truer picture of their condition, yet at the same time, for many, postmodernism seems to slip into the quagmire of relativism, where no belief can seemingly claim to be better than another. For some feminists this will not do, as it apparently undermines feminism itself. Rose (1994: 51) tends towards this position, warning against too hearty an embrace of postmodernism, whatever its attractions.
Experts are experts, so the argument goes, not just because they are clever 41 AI IN CONTEXT people who are very good at problem solving but because they have a lot of knowledge acquired perhaps through years of education and apprenticeship and experience of doing their jobs. If we could find some way of capturing that knowledge in an expert system then we would have a means of producing a system which might reason along the lines of an expert. It is not difficult to see how the concepts behind expert systems relate to the older micro-worlds idea.