MAINTENANCE EN COURS / SITE UNDER MAINTENANCE

Une opération de maintenance est en cours: les résultats de recherches et les exportations peuvent être incohérent.
Site under maintenance: search & exportation results could be inconsistent.
 

Solving artificial intelligence’s privacy problem

de Montjoye, Yves-Alexandre;Farzanehfar, Ali;Hendrickx, Julien;Rocher, Luc
(2017) Field Actions Science Reports — n° 17, p. 80-83 (2017)

Files

No attached file found for this publication.

Details

Authors
  • de Montjoye, Yves-AlexandreImperial College London, Data Science Institute and Dept. of Computing
    Author
  • Farzanehfar, AliImperial College London, Data Science Institute and Dept. of Computing
    Author
  • Hendrickx, Julienorcid-logoUCLouvain
    Author
  • Rocher, LucUCLouvain
    Author
Abstract
Artificial Intelligence (AI) has potential to fundamentally change the way we work, live, and interact. There is however no general AI out there and the accuracy of current machine learning models largely depend on the data on which they have been trained on. For the coming decades, the development of AI will depend on access to ever larger and richer medical and behavioral datasets. We now have strong evidence that the tool we have used historically to find a balance between using the data in aggregate and protecting people’s privacy, de-identification, does not scale to big data datasets. The development and deployment of modern privacy-enhancing technologies (PET), allowing data controllers to make data available in a safe and transparent way, will be key to unlocking the great potential of AI.
Affiliations

Citations

  • APA
  • Chicago
  • FWB

de Montjoye, Y.-A., Farzanehfar, A., Hendrickx, J., & Rocher, L. (2017). Solving artificial intelligence’s privacy problem. Field Actions Science Reports, 17, 80-83. https://hdl.handle.net/2078.5/254710 (Original work published 2017)