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Metaphors and Models for Data Mining Ethics

Metaphors and Models for Data Mining Ethics

Peter Danielson
Copyright: © 2009 |Pages: 15
ISBN13: 9781605660585|ISBN10: 1605660582|EISBN13: 9781605660592
DOI: 10.4018/978-1-60566-058-5.ch109
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MLA

Danielson, Peter. "Metaphors and Models for Data Mining Ethics." Database Technologies: Concepts, Methodologies, Tools, and Applications, edited by John Erickson, IGI Global, 2009, pp. 1808-1822. https://doi.org/10.4018/978-1-60566-058-5.ch109

APA

Danielson, P. (2009). Metaphors and Models for Data Mining Ethics. In J. Erickson (Ed.), Database Technologies: Concepts, Methodologies, Tools, and Applications (pp. 1808-1822). IGI Global. https://doi.org/10.4018/978-1-60566-058-5.ch109

Chicago

Danielson, Peter. "Metaphors and Models for Data Mining Ethics." In Database Technologies: Concepts, Methodologies, Tools, and Applications, edited by John Erickson, 1808-1822. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-058-5.ch109

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Abstract

Our regulatory institutions, broadly taken, include our moral norms and models and have not fully adapted to significant changes in data mining technology. For example, we suggest that the metaphors — Big Brother and “data mining” itself — commonly used to describe and assess this new technology are deficient, overemphasizing social discipline by the state and the passivity of the so-called data subject. We move from metaphors to a set of models more adequate for building an ethics of data mining, using a framework of informal game theory. We sketch three models of interaction: pure conflict, pure coordination, and a mixed motive cooperation game, with special application to security, health, and commerce, respectively. We recommend these three models as heuristics within a simple account of an ethics of data mining regulated by informed consent.

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