Imagine a world where the line between a legal business meeting and a corrupt deal is blurry. This project acts like a high-tech magnifying glass to spot these 'grey zone' influences, such as revolving doors between government and business. It uses AI to track how digital tools are used to hide or fight this behavior across many countries.
Companies struggle to navigate the 'grey zones' of political influence, such as lobbying and revolving doors, which can lead to legal risks or reputational damage. There is a lack of systematic tools to detect these non-criminal but corrupt patterns in digital societies.
The project is developing new risk indicators and digital tools to monitor political integrity and detect undue influence in the policy cycle.
If you are a consultancy dealing with client risk in volatile markets — this project developed new risk indicators that help identify when lobbying or personal ties become corrupt patterns. This allows for better auditing of political interactions.
If you are a software provider dealing with the complexity of cross-border corruption — this project investigated how AI applications can combat these practices. You can integrate these findings to build tools that monitor the policy cycle for bias.
If you are a news agency dealing with 'media capture' and hidden political funding — this project provides a systematic understanding of how digital technologies enable corruption. This helps journalists track undue influence more accurately.
Based on available project data, no pricing or cost structures have been disclosed as the project is in its early stages.
The project is currently in a research and co-creation phase across 27 EU member states and 11 neighbouring countries, rather than a scaled industrial product.
Based on available project data, specific licensing terms are not mentioned; however, the project involves co-creating tools with partners.
The project period runs from 2024-05-01 to 2029-04-30, suggesting results will be finalized by April 2029.
The project focuses on designing and testing practices and tools, including risk indicators, to increase monitoring of integrity.
The consortium is heavily academic, with 9 universities and 2 research institutions leading the effort. However, there is a practical edge with 2 industry partners and 4 other organizations, including 3 SMEs. This 12% industry ratio suggests the project is primarily research-driven but has a built-in mechanism for translating findings into usable tools via the SME partners.
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Contact us to track the development of these anti-corruption risk indicators.
