About
“Big Data” is a phrase that has been used pervasively by the media and the lay public in the last several years. Amongst many other fields, social control and crime control in particular have become one of the key emerging use cases of big data. For example, police predictive software produce probability reports on criminality and assure us that by using this, societies will reduce crime. Other programs are looking for patterns that would help us predict a terrorist attack. Criminal justice systems are using technological solution too, for instance, to predict future crimes of those applying for bail or those to be sent on a parole. Underlying these and many other potential uses of big data in crime control, however, are a series of legal and ethical challenges relating to, among other things to privacy, discrimination, and presumption of innocence.
The leading questions the Big Data conference speaker will tackle are:
*How the operations of society, political systems, and, in particular, social control and crime control, is changing due to large data bases and algorithmic data mining and predicting powers? *Will computers decide who to prosecute and who should be sent to jail? *Which programmes and systems of algorithmic predictions are already in place in the criminal justice systems around the globe? *Why this can be dangerous in terms of fundamental human rights and fundamental principles of democratic societies? *Is the new GDPR a suitable framework for »algocracy«, i.e. rule by the algorithm? *How can we propose solutions that may not hinder the development of the technology, but enable more nuanced, ethically and legally sound solutions to be developed in the future?
Videos
Introduction

Introduction and welcome
Jul 24, 2017
·
793 views

Introduction and welcome
Jul 24, 2017
·
883 views
Keynote Talks

We don’t know what the Questions are, but we know we’re gonna find the Answers
Jul 24, 2017
·
776 views

Personal data for common good: how to profit from Big Data sustainably
Jul 24, 2017
·
835 views

Five Reasons Not to Personify AI
Jul 24, 2017
·
1039 views

Algorithmic prediction in crime control
Jul 24, 2017
·
936 views

Algorithmic Patrol: The Futures of Predictive Policing
Jul 24, 2017
·
881 views

Big Data – Big Ignorance
Jul 24, 2017
·
1311 views
Big Data and Personal Data Protection

Individual control over personal data in the data-driven economy
Jul 24, 2017
·
1013 views

Slave to the Algo-rhythm? Legal and technological sticking points concerning mac...
Jul 24, 2017
·
776 views

Big Data, Data Protection and Citizen Empowerment
Jul 24, 2017
·
899 views
Human Rights, Criminal Justice and Big Data

The alluring promise of objectivity: Big data in criminal justice
Jul 24, 2017
·
902 views

Big Data in Criminal Justice – Few Chances and Serious Risks
Jul 24, 2017
·
1082 views
Big Data Knowledge

How do public sector values get into public sector machine learning systems, if ...
Jul 24, 2017
·
834 views

Hiding large amounts of data in virtual disk images
Jul 24, 2017
·
873 views

Anonymisation of judicial decisions with machine learning
Jul 24, 2017
·
1178 views
Social, Economic and Health Aspects of Big Data

Big Data, Psychodiagnostics and Threats to Personal Autonomy
Jul 24, 2017
·
1056 views

Pricing (big) data: the right to know the value of our own personal data
Jul 24, 2017
·
801 views

Healthcare Robots and the Right to Privacy
Jul 24, 2017
·
1417 views
Big Data and Criminal Procedure

Slovenian criminal intelligence activity and protection of privacy
Jul 24, 2017
·
897 views

Judicial oversight of (mass) collecting and processing of personal data
Jul 24, 2017
·
724 views
Big Data Policing

Reconfiguring freedom: Big data, the Investigatory Powers Act 2016 and the const...
Jul 24, 2017
·
905 views

Automated Cybercrime Investigations: The example of “Sweetie 2.0”
Jul 24, 2017
·
997 views