Algorithmic prediction in crime control
published: July 24, 2017, recorded: May 2017, views: 922
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
The paper will present several existent uses of big data in the criminal justice system, for example, for the prevention of payment card fraud by means of skimming; for the prediction of crime with predictive software; the use of algorithms to predict the recidivism of parolees. Such knowledge, built on a large amount of seemingly unrelated data, whose credibility is based on complex mathematical algorithms, may legitimise increased social control, limit privacy and undermine the basic principles of criminal procedure. Taking into consideration the benefits of algorithmic service, the paper will claim that our society will have to find a balance between the benefits of using big data and the disturbing effects it may pose for society (e.g. abuse through data fishing, loss and theft of personal data, etc.). It will present the pitfalls of reliance on big datapredictions used by law enforcement and criminal justice agencies and the risks big data carries as regards encroachment on fundamental liberties
Download slides: lawandethics2017_zavrsnik_algorithmic_prediction_01.pdf (1.3 MB)
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !
Write your own review or comment: