The LASIE project aims to design and implement an open and expandable framework that will significantly increase the efficiency of current investigation practices, by providing an automated initial analysis of the vast amounts of heterogeneous forensic data that analysts have to cope with. The framework will be able to handle forensic data that have been acquired from a variety of different sources including CCTV surveillance content, confiscated desktops and hard disks, mobile devices, Internet, social networks, handwritten and calligraphic documents.
The LASIE framework will be able to: (i) extract evidence from the available data (text, images, video, audio and biometric information in multiple formats), (ii) perform inferences based on the evidence, (iii) guide the investigation process through the incorporation of recommendation functionality, and (iv) interact with the user through an efficient and user-friendly interface. The overall process will be performed under the condition that all legal and ethical restrictions are satisfied and the computed data can be presented as evidence in European courts of law.
More information can be found on the LASIE project website: http://www.lasie-project.eu/
Bellanova, Rocco (2016) What can Robocop(s) teach to critical security studies? An “amateur” reading of surveillance, (dis)order, and critique, presented at 7th Biennal Surveillance & Society Conference, Barcelona - Spain, 20–23 April 2016.
Report - Other
Bergersen, Stine (2017) Artificial Police Agents: Looking Awry, LASIE Seminar Report, 2. Oslo: PRIO.
Kloza, Dariusz (Darek); Stine Bergersen; Rocco Bellanova; & Ida Rødningen (2016) Monitoring report on emerging ethical challenges and current societal debates (Deliverable D2.2), LASIE Deliverables, 2. Rome: EU FP7 LASIE Project.
Bergersen, Stine (2016) The Contested Semantics of ‘Security’ and the Curious Case of Privacy Impact Assessments applied to National Security Initiatives, LASIE Seminar Report, 1. Oslo: PRIO.