General objectives: pattern identification using AI
This project has been co-financed by the European Regional Development Fund (ERDF 2021–2027), whose general objective is the introduction of Artificial Intelligence techniques in the analysis of risk assessment results, aiming at the identification of previously undetected patterns and the identification of biases arising from the methodologies and processes used, as well as those intrinsic to human nature itself.
Specific objectives of the project
Among the specific technical objectives of the project, the following stand out:
Acquisition of knowledge regarding the limitations and requirements posed by artificial intelligence for the correct development of algorithms.
Creation of a robust and continuously updated database to ensure the correct subsequent implementation in the AI algorithm to be developed.
Integration of the database into a coherent structure compatible with the development of AI technology.
Implementation of security and privacy protocols to ensure the integrity and confidentiality of the data collected.
Identification and selection of relevant variables for bias analysis, risk assessment and pattern identification.
Design and development of AI models that enable machine learning for predictive use in the identification of biases and risks.
Establishment of validation procedures for the developed AI models following the interpretation of the results obtained.
Integration of the tool into existing workflows within the IPRESAS operational environment.
Project execution location: PLAZA SEMANA SANTA MARINERA, 2, 3rd Floor, Door 3 (46011 – VALENCIA).
Project execution period: 19/02/2024 – 18/02/2027
Investment: €622,568.00
EU grant: €529,182.80
