Data-SKUP 2024

The GAIJ project is a 15-month pilot initiative aimed at developing an open-source AI tool to help investigative journalists and the public identify financial fraud. Led by the Artificial Intelligence Journalism Resource Center (AIJRC) and the Norwegian University of Life Sciences, the project utilizes Large Language Models (LLMs) and graph analysis to detect suspicious interactions in financial records, such as tax declarations and financial transactions.
By combining AI and machine learning, GAIJ will create a "suspicion graph" that flags irregular financial transactions between entities, making it easier for journalists to expose corruption and non-sustainable practices. This project is particularly relevant to the UN’s Sustainable Development Goals, as it aims to combat illicit financial flows and promote transparency. GAIJ will work closely with investigative journalists, especially from Norwegian media, to ensure the tool is practical and impactful.