Professor Dr. Sergio Mascetti, Dr. Annarita Ricci, and Professor Dr. Salvatore Ruggieri have published Introduction to special issue on computational methods for enforcing privacy and fairness in the knowledge society forthcoming in Artificial Intelligence and Law.
This is the introductory article of the forthcoming February 2014 issue of Artificial Intelligence and Law.
Here is a summary:
[…] This volume presents four papers which address, in an extensive and thorough way, several problems of privacy violation or discrimination with a multi-disciplinary approach. Each paper was reviewed by (at least) two computer scientists and (at least) one legal expert’:
- Kwecka et al., “I am Spartacus”: privacy enhancing technologies, collaborative obfuscation and privacy as a public good
- Monreale et al., Anonymity preserving sequential pattern mining
- Berendt and Preibusch, Better decision support through exploratory discrimination-aware data mining: foundations and empirical evidence
- Mancuhan and Clifton [not yet published] address “the problem of social discrimination detection and protection in data mining.” They employ “Bayesian network models to detect individuals who have been discriminated against.”