- Trilateral Research, a London-based SME, has developed an ethical AI application called Honeycomb. This helps organizations understand human behavior and anecdotal data to quickly implement safeguards against crimes such as human trafficking.
- Trilateral innovation funded through DASA Open Call and Security Rapid Impact to launch in April 2023
- DASA has supported Trilateral from proof of concept to product launch, helping Trilateral reach a faster route to market through Rapid Impact Open Call.
Explainable AI to Understand Human Terrain and Incident Data to Solve Crime
The adoption, complexity, and fidelity of artificial intelligence (AI) are increasing, and more organizations are turning to AI to facilitate analytics at scale. AI can make complex analysis and decision-making easier for human users, but understanding how AI works is essential.
AI explainability builds confidence in AI’s ability to support responsible decision-making in sensitive areas where transparency is key, such as human trafficking, child protection, organized crime, and healthcare. This enables users to understand AI output, avoid bias, maintain high standards, and challenge and review AI results.
Introducing Trilateral Research’s Explainable AI Web Application
Trilateral Research, a London-based small business, has developed an explainable AI web application called Honeycomb, funded by DASA. This application is scheduled to be released in April 2023. It is designed to help organizations better understand and respond to complex social issues. Human trafficking to make more informed decisions faster.
Trilateral Research built an AI application on top of a suite of natural language processing (NPL) tools. These tools are used to accelerate the extraction, communication, and analysis of criminal case content such as texts, databases, documents, and case notes. NPL tools highlight patterns, trends, key themes, and topics of interest, allowing analysts and information professionals to quickly track and validate findings. This enables human users to exercise more professional judgment to quickly review cases and implement protective interventions.
Trilateral AI web applications are developed in collaboration with in-house subject matter experts in areas such as human trafficking and criminology to ensure NPL technology has a deep understanding of the domain and enhance the effectiveness of its output. I was.
Trilateral’s Honeycomb Enterprise technology
Understanding structured data for criminal investigations
Trilateral’s solution can analyze massive volumes of structured case data and make rapid discoveries in hours compared to what can take human analysts weeks.
Trilateral innovations help defense and security in several ways.
- Detect patterns, trends, key themes, and topics: AI web applications can quickly explore vast amounts of case data to find information relevant to cases.
- Geospatial and Human Terrain Data: This tool utilizes geospatial analysis to visualize structured data related to the wider human terrain.
- Rapid Analysis: Empower human analysts and information workers to get results faster, with more diverse data, in hours instead of days.
- Easy-to-understand data: Innovation is easy to use, easy to digest, and helps non-analysts (such as senior decision makers) understand your analysis.
- Human Assistance: Allow analysts and intelligence personnel to focus more on value-added tasks instead of time-consuming data analysis.
DASA support from proof of concept to product launch
DASA’s funding and involvement helped Trilateral guide its product direction and achieve a faster route to market through the defense and security sectors.
SME initially developed innovations to help the Department of Defense better understand unconventional social issues such as human trafficking risks, cultural heritage protection, gender-based violence, and child exploitation in conflict. Trilateral first engaged with DASA in 2018, providing a proof-of-concept risk assessment tool to help the British military assess the risks of modern slavery and human trafficking in conflict situations.
Their next funded DASA project, HAMOC, was submitted in 2019 and calls for the development of AI tools to equip the defense with the ability to effectively integrate human security analysis into existing planning capabilities. I aimed. Leveraging feedback from DASA, Trilateral has guided the direction of his HAMOC, with a continued focus on security to meet opportunities for rapid engagement.
Trilateral has successfully submitted its next project to the 2021 DASA Security Rapid Impact Open Call. This project will develop explainable AI to extract and communicate insights from existing databases to help police combat child exploitation and organized crime through proactive organized crime group mapping. As part of the trial, Trilateral will work with UK police to help them make better use of their data, showing how the tool can be used to implement safety measures months earlier than standard timelines I succeeded.
All of this work has been reflected in the development of Honeycomb, which is scheduled to launch in April 2023.
Dr. Hayley Watson, Director of Sociotech Innovation at Trilateral Research, said:
DASA provides the space and time for innovation and co-design with defense users to enable the development of sociotechnical methods for building ethical AI to address complex societal issues. I was. The opportunities for end-users in defense and security are enormous, working together to harness explainable AI to address complex societal issues, from national security to crisis and conflict stabilization efforts. can provide We look forward to continuing to work with companies passionate about leveraging innovation to enhance their operations. > Ultimately, it helps save lives.
After the trilateral
Through successful funding, testing and trials with DASA, Trilateral has confidence in its engagement with defense and security customers, which has built credibility in its products.
DASA provides an outlet for trilateral to test the market, cultivate a large network of product champions and potential customers, and direct product direction towards security-focused for rapid pick-up. have supported the Looking to the future, Trilateral will further develop tools for more direct integration with customer systems via application programming interface feeds and data migration tools, and develop more creative solutions for explainable AI. By doing so, we want to build on the product launch.
