DescriptionIntelligence-led policing has been employed before the advent of artificial intelligence and big data. However, developments in computing power and the digitization of information has made access to large amounts of data more readily accessible. This enables law enforcement agencies to speed up the process of collecting and analyzing data and develop predictive policing methods. Using data and statistical methods allows to “forecast” the probability of crime, both in terms of potential crime locations and individuals that might be involved in criminal activities - as victims or as perpetrators.
Predictive policing methods have been used - and criticized as decision-making tools based on limited data and potential machine bias - for a while now in the United States. In Europe, the methods are still relatively new. For instance, in Germany, six federal states have applied the method in different ways since 2014 and the Netherlands have implemented predictive policing on a national level in 2017. It seems that until now, the main impact has been linked to internal processes within LEAs and better understanding how data is selected and used.
In a time when trust in the police is strained by racial profiling and disproportionate use of force, it is important to understand what type of predictive policing methods are being used and can be used in Europe and how ethical concerns are addressed. In the framework of the EU Cutting Crime Impact (CCI) project, researchers have reviewed the state of the art of predictive policing in EU countries and analyzed ethical, legal and social impacts. In our upcoming web conference on predictive policing, we invite you to learn about the uses of predictive policing in Europe from the CCI project research experience and discuss the method’s effectiveness and implications. More specifically we will look at questions such as:
What type of predictive policing methods have been applied in Europe?
How effective are they? What success factors should be measured?
What are the ethical, social and legal implications of predictive policing?
In which ways can ethical concerns - notably in terms of explicit and implicit bias in data - be mitigated?
|Event title||Predictive Policing - A tool to forecast crime or a tool to support decision making? null|
|Degree of Recognition||International|
- Predictive Policing
- Machine Learning
- Human Rights