Dear Esteemed Readers,
We are delighted to present the inaugural edition of RisikoNews, marking the commencement of an ongoing series of informative updates. Our objective in this endeavour is to disseminate the most current news, fostering constructive dialogue within our community, with the ultimate aim of refining and presenting enhanced solutions for your benefit.
In the current landscape, artificial intelligence (AI) has gained ubiquity, serving both as a valuable tool and, regrettably, occasionally falling victim to misuse. Given this context, we believe it would be advantageous to acquaint you with our ongoing initiatives within this sphere. Following your consideration of the information provided below, if the "ATTENTION! project" resonates with you and arouses your interest, we cordially invite you to express your keenness to engage further. Subsequently, we would be delighted to coordinate a follow-up meeting, during which we can engage in a comprehensive discussion regarding the prospective avenues for your active participation and valuable contributions in this endeavour.
Building an AI-empowered system for the detection and persecution of illicit trade
Illicit trade is a problem of massive scale. Smuggling, counterfeiting, mis-invoicing, and money laundering deprives states and societies of taxes, infringes on product and brand rights, compromises product safety – and finances crime. Global Financial Integrity found a gap of US$8.7 trillion in reported trade that ultimately flow into criminal ventures, yet the detection rate is near zero.
Currently there are very few tools available to detect complex, large scale illicit trade and its perpetrators. Investigations are time- and cost intensive. Law enforcement often relies on tip-offs while customs must do random checks. Globally we are lacking a science-based understanding of how illicit transactions can be detected, what patterns they are following and how the networks behind them can be traced and persecuted.
The ATTENTION! project will analyse the largest trade databases available globally together with extensive Web content and metadata. ATTENTION! will develop Machine Learning models to understand and detect patterns of illicit trade activity and to expose the perpetrators and their support systems.
The trade activity of over forty countries over six years will be analysed comprehensively to ensure that all known smuggling methods such as co-mingling are included in the AI and ML models. The Web will be scanned for identified patterns to find new cases and detect the networks of perpetrators and their ecosystems integrating a vast array of 3rd party data sources.
Ultimately, the result of ATTENTION! will be a cloud software system that will empower companies and authorities to better detect illicit trade and proceed against its agents.
For more information, see: https://attention-project.eu/en/
We trust that you found our inaugural issue to be engaging and informative. We highly value your insights and input, which we warmly invite you to share with us. As we possess an array of resources at our disposal, we are eager to tailor our forthcoming editions to align with your specific interests.
Allow us to provide a brief overview of some of the tools at our disposal, which we can utilise to craft content that resonates with your preferences or propose something new:
AMALIA is an easy to use automated intelligence analytics software built for Enhanced Client Due Diligence and Case Investigations.
Space Detective is a unique tool which lets you monitor your areas of interest using satellite imagery.
The Trade Data Analysis Dashboard allows investigators to visualise and derive insights from shipping data.
Please do not hesitate to specify your preferences or suggest a particular subject that you would like us to explore in our next edition. Your feedback is invaluable in helping us tailor our content to meet your expectations and interests effectively.
Thanks for reading it, have a nice day &