Machine Epistemology and Big Data

In Lee C. McIntyre & Alexander Rosenberg (eds.), The Routledge Companion to Philosophy of Social Science. New York: Routledge (2016)
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Abstract

In the age of big data and a machine epistemology that can anticipate, predict, and intervene on events in our lives, the problem once again is that a few individuals possess the knowledge of how to regulate these activities. But the question we face now is not how to share such knowledge more widely, but rather of how to enjoy the public benefits bestowed by this knowledge without freely sharing it. It is not merely personal privacy that is at stake but a range of unsung benefits that come from ignorance and forgetting, traits that are inherently human and integral to the functioning of our society.

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Author's Profile

Gregory Wheeler
Frankfurt School Of Finance And Management

Citations of this work

From privacy to anti-discrimination in times of machine learning.Thilo Hagendorff - 2019 - Ethics and Information Technology 21 (4):331-343.

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Philosophical writings of Peirce.Charles S. Peirce - 1940 - New York,: Dover Publications. Edited by Justus Buchler.
Ethics without ontology.Hilary Putnam - 2004 - Cambridge, Mass.: Harvard University Press.
Science and the Modern World.Alfred North Whitehead - 1925 - Humana Mente 1 (3):380-385.

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