{"id":26715,"date":"2025-12-17T12:45:25","date_gmt":"2025-12-17T11:45:25","guid":{"rendered":"https:\/\/www.ipresas.com\/?p=26715"},"modified":"2025-12-18T11:38:14","modified_gmt":"2025-12-18T10:38:14","slug":"research-for-the-development-of-a-new-methodology-for-bias-detection-and-pattern-identification-in-risk-assessments-of-infrastructures-using-artificial-intelligence-techniques-general-objectives-pat","status":"publish","type":"post","link":"https:\/\/www.ipresas.com\/en\/research-for-the-development-of-a-new-methodology-for-bias-detection-and-pattern-identification-in-risk-assessments-of-infrastructures-using-artificial-intelligence-techniques-general-objectives-pat\/","title":{"rendered":"Research for the development of a new methodology for bias detection and pattern identification in risk assessments of infrastructures using artificial intelligence techniques."},"content":{"rendered":"\t\t
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General objectives: pattern identification using AI<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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This project has been co-financed by the European Regional Development Fund (ERDF 2021\u20132027), whose general objective<\/strong> 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.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t

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Specific objectives of the project<\/h3>\t\t\t\t<\/div>\n\t\t\t\t
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Among the specific technical objectives<\/strong> of the project, the following stand out:<\/p>

  • Acquisition of knowledge regarding the limitations and requirements posed by artificial intelligence for the correct development of algorithms.<\/p><\/li>

  • Creation of a robust and continuously updated database to ensure the correct subsequent implementation in the AI algorithm to be developed.<\/p><\/li>

  • Integration of the database<\/strong> into a coherent structure compatible with the development of AI technology.<\/p><\/li>

  • Implementation of security and privacy protocols<\/strong> to ensure the integrity and confidentiality of the data collected.<\/p><\/li>

  • Identification and selection of relevant variables for bias analysis, risk assessment and pattern identification.<\/p><\/li>

  • Design and development of AI models<\/strong> that enable machine learning for predictive use in the identification of biases and risks.<\/p><\/li>

  • Establishment of validation procedures for the developed AI models following the interpretation of the results obtained.<\/p><\/li>

  • Integration of the tool into existing workflows within the IPRESAS operational environment.<\/p><\/li><\/ul>

    Project execution location:<\/strong> PLAZA SEMANA SANTA MARINERA, 2, 3rd Floor, Door 3 (46011 \u2013 VALENCIA).<\/p>

    Project execution period:<\/strong> 19\/02\/2024 \u2013 18\/02\/2027<\/p>

    Investment:<\/strong> \u20ac622,568.00<\/p>

    EU grant:<\/strong> \u20ac529,182.80<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

    General objectives: pattern identification using AI This project has been co-financed by the European Regional Development Fund (ERDF 2021\u20132027), 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 […]<\/p>\n","protected":false},"author":3,"featured_media":25760,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-26715","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-sin-categorizar"],"yoast_head":"\nIdentification in risk assessments of infrastructures using artificial intelligence - iPresas<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, 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