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Artificial Intelligence and Law

, Volume 22, Issue 2, pp 109–111 | Cite as

Introduction to special issue on computational methods for enforcing privacy and fairness in the knowledge society

  • Sergio Mascetti
  • Annarita Ricci
  • Salvatore Ruggieri
Article
We live in times of unprecedented opportunities for sensing, storing and analyzing micro-data on human activities at extreme detail and resolution, at a societal level. Wireless networks and mobile devices record the traces of our movements. Search engines record the logs of our queries for finding information on the web. Automated payment systems record the tracks of our purchases. Social networking services record our connections to friends, colleagues, and collaborators. Ultimately, these big data of human activity are at the heart of the very idea of a knowledge society: a society where decisions—small or big, by business or policy makers—can be taken on the basis of reliable knowledge, distilled from the ubiquitous digital traces generated as a side effect of our living. Increasingly sophisticated intelligent systems support knowledge discovery and deployment from human activity data, enabling the extraction and the (often automatic) use of models, patterns, profiles, and rules...

Keywords

Bayesian Network Knowledge Society Bayesian Network Model Privacy Violation Legal Point 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

The guest editors gratefully acknowledge the support of the project Enforce: Computer science and legal methods for enforcing the personal rights of non-discrimination and privacy in ICT systems (2010–2014) funded by the Italian Ministry for University and Research under the Italian Basic Research Fund (FIRB) call Futuro in Ricerca 2008 (Project ID: RBFR081L58). The views expressed are those of the authors and should not be taken as representative of the project.

Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  • Sergio Mascetti
    • 1
  • Annarita Ricci
    • 2
  • Salvatore Ruggieri
    • 3
  1. 1.Department of Computer ScienceUniversity of MilanMilanItaly
  2. 2.Department of Legal StudiesUniversity of BolognaBolognaItaly
  3. 3.Department of Computer ScienceUniversity of PisaPisaItaly

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