How to Put the Data Subject’s Sovereignty into Practice. Ethical Considerations and Governance Perspectives

Photo by Franki Chamaki on Unsplash

Peter Dabrock |

AIES ’20: Proceedings of the AAAI/ACM Conference on AI, Ethics, and SocietyFebruary 2020 Pages 1–2. |

Ethical considerations and governance approaches of AI are at a crossroads. Either one tries to convey the impression that one can bring back a status quo ante of our given “onlife”-era [1,2], or one accepts to get responsibly involved in a digital world in which informational self-determination can no longer be safeguarded and fostered through the old fashioned data protection principles of informed consent, purpose limitation and data economy [3,4,6]. The main focus of the talk is on how under the given conditions of AI and machine learning, data sovereignty (interpreted as controllability [not control (!)] of the data subject over the use of her data throughout the entire data processing cycle [5]) can be strengthened without hindering innovation dynamics of digital economy and social cohesion of fully digitized societies. In order to put this approach into practice the talk combines a presentation of the concept of data sovereignty put forward by the German Ethics Council [3] with recent research trends in effectively applying the AI ethics principles of explainability and enforceability [4-9]. |

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