Zoltán György BÁCS

Dr. Zoltán György BÁCS holds two doctoral degrees: one of History (1988) and another of Military Sciences (2021).  

He is a former diplomat, he served in Moscow, Kiev, Baku, Minsk and Buenos Aires. He is author of sixty publications in four languages registered by the Hungarian National Academy of Sciences. He specializes on terrorism, on national security, on innovative analysis and assessment methods, on radicalization and on drug problems and organized crime in Latin America.

Area of Expertise: terrorism, organised crime, analysis & assessment

https://orcid.org/0000-0003-3454-9539

AI-Assisted Predictive Intelligence Information Processing Method in Prevention and Investigation. Network Analysis and Assessment in Combating High Risk Criminal Networks

The speed of spreading and organizing of High Risk Criminal Networks (HRCN) is growing in the Central and East European region. These criminal organizations have already penetrated into the most rentable fields of economy and finances and have acquired a very significant potential not only in the economic affairs but also in the political ones. The AI-assisted Predictive Intelligence Information Processing Method offers a chance for either prevention or investigation of HRCN activities using a retrospective network analysis combined with risk-assessment capabilities. Being the first analysis method using the widest possible database and assisted by the fastest selection, systematization, processing, evaluation, assessment and double-checking in its every moment provided by the AI, this analysis and assessment method is capable to achieve a significant reduction of the time of preparation and making decisions in a wide range of law enforcement activities. The dynamic analysis and assessment method to be introduced here is unique since all the actual analysing methods are based on “stabile” networks composed of already known information only, without considering the possible effects of the calculable or supposable information on the investigation in progress.1 This is the first method-to-be assisted by wide use of Artificial Intelligence.

The purpose of the present study is to introduce the basic concept of the new method, to explain the interconnection between formation of new information based upon already known information, the time-flow and the formation of information networks and the dynamic link between the changing values of information on the subsequent progress of the investigation.  

The method in matter also demonstrates the advantages of the new approach. Among them, the quicker decision-taking and the subsequent higher operability are the most important ones. The method of research presented in his study is deductive and comparative analysis based on empirical observations.