Privacy as Protection of the Incomputable Self: From Agnostic to Agonistic Machine Learning

@inproceedings{Hildebrandt2019PrivacyAP,
  title={Privacy as Protection of the Incomputable Self: From Agnostic to Agonistic Machine Learning},
  author={Mireille Hildebrandt},
  year={2019}
}
This Article takes the perspective of law and philosophy, integrating insights from computer science. First, I will argue that in the era of big data analytics we need an understanding of privacy that is capable of protecting what is uncountable, incalculable or incomputable about individual persons. To instigate this new dimension of the right to privacy, I expand previous work on the relational nature of privacy, and the productive indeterminacy of human identity it implies, into an… CONTINUE READING

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