Analysts can leverage artificial intelligence (AI) tools in i2 Group solutions to significantly improve the accuracy and speed of intelligence gathering, bringing greater clarity to complex investigations, improving critical resource use and delivering better decision-making, as Martin Kragh, Law Enforcement Industry Leader, i2 Group, explains.
Last year, the European Union Agency for Law Enforcement Cooperation (Europol) published a report that explores the challenges and the opportunities of artificial intelligence (AI) for law enforcement.
Reflecting on the fact that traditional policing methods alone are no longer sufficient to take on the challenges presented by the globalization of crime and the complex nature of modern criminal activities, Europol’s report acknowledges that AI could provide law enforcement agencies with an ‘advanced and innovative’ solution.
To quote the report: ‘The Power of AI in processing vast amounts of data, and filtering for relevant content, its data modelling capabilities, and its ability to identify patterns and trends previously undetectable by human investigators highlight its transformative potential.’
As an added bonus, employing AI for ‘repetitive and resource-intensive tasks’ frees up law enforcement agencies so they can be more efficient in how they work, especially as they often have limited resources to pursue complex investigations.
But there is also another benefit that AI provides, and that is supporting investigators who do not have the programming skills to extract and process information into a structured format, and in doing so broaden their intelligence picture.
In this respect, AI can significantly improve the speed and efficiency of intelligence sourcing, helping analysts to improve their forensic work and ultimately make better informed decisions without the need for advanced programming skills.
i2 Group’s law enforcement customers – operating from city through to state and up to national levels – are starting to explore AI’s potential in supporting their investigations.
However, many agencies are still at an experimental phase and therefore have yet to grasp the opportunities that managing AI outputs within i2's suite of software present.
Long standing i2 Group customers will have seen for themselves how the platform excels at integrating intelligence from a diverse range of complex data sources. Whereas other systems that need to introduce multiple applications to analyse AI outputs can be costly and inefficient, this is not the case with the software portfolio from i2 Group.
Analysts can integrate AI into this software platform seamlessly to help streamline workflows and benefit significantly from the speedier and more efficient analysis of complex and multiple data sets that AI delivers when working in tandem with our software.
Armed with these enhanced intelligence insights, analysts are then in a position to recommend more effective actions comfortable in the knowledge that their decisions have been informed by a comprehensive and timely data analysis. But how does this work in practice?
The incorporation of AI practices and techniques into the i2 suite of software could work in the following ways:
Using the flexible importer of i2 Analyst’s Notebook any result from your AI projects stored as a flat file can be imported and fused with your existing knowledge graph.
If your AI projects can provide a Rest-API then connectors can be developed in for instance Python allowing users of i2 Analysis Studio and i2 Analysis Hub to query or send the text from a multiline field on a node to be processed by your LLM (large language model) and the result returned seamlessly back into the i2 user interface for further analysis.
With our Open Source Development Kit for the i2 web client you could build plug-ins that reads the knowledge graph built using i2 to produce for instance written summaries of what the knowledge graph displays.
With the help from our expert professional services team – we can build customized features allowing you to, for example, upload and save an image file and call an on-prem LLM model to interpret and extract critical intelligence from an image.
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As the Europol report explains, generative AI offers a ‘treasure trove of possibilities’ for law enforcement with technologies such as machine translation being critical to international collaboration among different agencies.
In addition, the report cites AI-driven tools, which, when used with open-source intelligence and social media intelligence, have the ability to process unstructured data to provide real-time insights that can enhance the ability of law enforcers to respond to urgent situations.
While law enforcement agencies must meet the complex ethical and legal requirements surrounding the use of AI, namely ensuring appropriate data handling and responsible data processing practices, clients that have been using the i2 analysis platform to conduct investigations and intelligence sourcing cannot afford to become disconnected from the AI projects in their organisation.
The benefits of strategically combining artificial intelligence and i2 software can be felt in the broader intelligence picture they hand to law enforcers.
Martin worked as a law enforcement officer and analyst at the Danish National Police for 16 years before joining i2 Group in 2015. Previously leading the EMEA technical sales team, Martin is now Global Law Enforcement Industry Leader.
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