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Data-SKUP lørdag 26. oktober på OsloMet. Påmelding her. Endringer i programmet kan forekomme.
Saturday October 26, 2024 3:15pm - 3:45pm CEST
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.
Moderators
avatar for Roy Krøvel

Roy Krøvel

Professor of Journalism, OsloMet
Roy Krøvel er professor i journalistikk på OsloMet. Han er utdannet sivilingeniør med doktorgrad i historie. Krøvel stifta for tre år sidan AI Journalism Resource Center, som forskar på og stør mennesksentrert utvikling av KI for undersøkande journalistikk. Roy Krøvel is... Read More →
Speakers
NC

Nuno Calaim

Data scientist, NMBU
Nuno Calaim completed his BsC and MsC in Applied Mathematics and Computer Science in Lisbon Portugal. He then completed a PhD in Theoretical Neuroscience with Christian K. Machens on spiking neural networks. Now he is working both in in the pharmaceutical industry as a Data Scientist... Read More →
avatar for Leonardo Rydin

Leonardo Rydin

Associate Professor, NMBU
Leo is an enthusiast about the use of mathematical models for large-scale data. Leo is an Associate Professor at the Institute of Physics, Norwegian University of Life Sciences (NMBU).
Saturday October 26, 2024 3:15pm - 3:45pm CEST
2. etasje PI243

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