In this brief text, Peggy Wright gives an overlook of Knowledge Discovery in Databases (KDD) and of technique to draw knowledge out of a large amount of data.
The text is available here.
KDD, as data mining, may be tools and as such ethically neutral. However, how should the "data pre-process", which implies removing "meaningless data" be understood? Indeed, it implies that some behaviours, pathologies etc. can be neglected. While it may be accepted if you think of KDD as a search for the answer to a specific question, it sounds pretty shocking to my ears if you think that Data-Mining aims at finding "patterns" and regularities.
Actually, pre-processing data entails the removal of some patterns and as such the selection, I would even go further by saying the "standardisation", of a certain type of behaviour.
Therefore, I think that trying to unfold the ethical stakes of KDD, even though knowledge discovery is a natural tendency, is crucial not to turn our society into what G. Orwell called "Big Brother".
Such a reflection is available here.
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