il punto chiave sottolineato da ACLU direi che è questo: "It is essential that before law enforcement deploys any new technology that there is a thorough, public debate and a rigorous, independent assessment of the technology’s statistical validity and community impact". Questa conclusione conferma la necessità di un ripensamento di nozioni quali la data protection in una dimensione collettiva e partecipativa, anche in termini di analisi e prevenzione degli impatti individuali e sociali dell'uso dei dati. Per chi volesse, condivido una mia riflessione in tal senso, che muove anche dal caso delle tecniche di Predictive Policing: Mantelero, A. 2016. Personal data for decisional purposes in the age of analytics: From an individual to a collective dimension of data protection. Computer Law and Security Review, 32 (2):238-255 http://staff.polito.it/alessandro.mantelero/Mantelero_Personal_data_for_decs... AM On Fri, 2 Sep 2016 09:20:20 +0200 "J.C. DE MARTIN" <demartin@polito.it> wrote:

*Predictive Policing Software Is More Accurate at Predicting Policing Than Predicting Crime** * By Ezekiel Edwards, Director, ACLU Criminal Law Reform Project

August 31, 2016 | 12:15 PM

“Predictive policing” has an enticing ring to it. The idea is that you feed a bunch of data into a mysterious algorithm, and poof, out comes intelligence about the future that tells police where the next crime is going to occur, or even who is going to commit it. What’s not to get excited about?

Unfortunately, many predictions made by policing software don’t come true. This is because predictive tools are only as good as the data they are fed. Put another way: garbage in, garbage out.

Data collected by police is notoriously bad (we don’t even know how many people police kill every year), easily manipulated, glaringly incomplete, and too often undermined by racial bias. When you feed a predictive tool contaminated data, it will produce polluted predictions. In fact, it appears predictive policing software is more accurate at predicting policing than predicting crime. Rather than informing us where criminals will be and when they will commit crimes, these algorithms more reliably predict where the police will deploy.

[…]

Continua qui: https://www.aclu.org/blog/speak-freely/predictive-policing-software-more-acc...

-- Prof. Avv. Alessandro Mantelero Politecnico di Torino Nexa Center for Internet and Society | Director of Privacy Politecnico di Torino–Tongji University| Coordinator, Double Degree program in Management and IP Law Nanjing University of Information Science and Technology | Part-time Expert, School of Public Administration European Data Protection Law Review | Associate Editor http://staff.polito.it/alessandro.mantelero EMAIL POLICY: once a day (Mon-Fri)