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UBITECH participates at the kick-off of the LAW-GAME Research and Innovation Action on gamification-based training and prediction of criminal actions

UBITECH participates at the virtual kick-off meeting hosted by the European University of Cyprus (September 6-7, 2021) of the LAW-GAME Research and Innovation Action, officially started on September 1st, 2021. The project is funded by European Commission under Horizon 2020 Programme (Grant Agreement No. 101021714) and spans on the period September 2021 – August 2024. The LAW-GAME project aims to train police officers’ on the procedure, enhancing the transition between the theory and real life practice through gamification technologies in a safe and controlled virtual environment.

Essential tasks during the creation of LAW-GAME serious game are to virtualise and accurately recreate the real world, by realistically simulating and analysing aspects of a real-world situations. LAW-GAME introduces an attractive approach to the development of core competencies required for performing intelligence analysis, through a series of AI-assisted procedures for crime analysis and prediction of illegal acts, all within the LAW-GAME game realm. Building upon an in-depth analysis of police officers’ learning needs and inspired by a multitude of disciplines, LAW-GAME develops an advanced learning experience, embedded into 3 comprehensive “gaming modes” dedicated to train police officers and measure their proficiency in: conducting forensic examination; effective questioning, threatening, cajoling, persuasion, or negotiation; and recognizing and mitigating potential terrorist attacks.

Within LAW-GAME, UBITECH’s participation has a two-fold focus: to create AI based algorithms to detect patterns indicating potential criminal and/or terrorist actions; and to create explainable (XAI) models, so as to ensure transparency, trustworthiness and explainability of the aforementioned illegal activities predictive models.

In particular, UBITECH will work towards the AI-enabled criminal and terrorist attack modelling, though the implementation and validation of AI/ML based algorithms that will enable the Law Enforcement Agencies (LEAs) to understand and anticipate potential terroristic actions. Special attention will be given in training and deploying recurrent deep neural network algorithms (RNNs, Long Short Term Networks-LSTM) to learn the temporal context of the action-generated datasets (expressed as time-dependent sequences of recognised events) in order to make better predictions with respect to potential future terrorist actions. Specifically, the algorithms will provide recommendations to the officers about events and actions of the other players (e.g., terroristic group) that are potentially linked to terroristic activity, given past activities/ actions of the users during the course of the game.

Last but not least, UBITECH will implement and validate a set of XAI techniques, which will ensure that the Machine Learning and Predictive Analytics techniques adopted for the illegal activities detection are either transparent or explainable so as to be trusted and acceptable by the users of the game.

For more info, please visit https://lawgame-project.eu/