ORIGINAL RESEARCH article
Front. Comput. Sci.
Sec. Software
MESIAS: A Web-Based Platform Rooted in Ethical Principles for Evaluating Trustworthiness in AI Projects
Provisionally accepted
- Universidad Peruana de Ciencias Aplicadas, Lima District, Peru
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The accelerated growth of artificial intelligence (AI)-based projects has intensified the need for tools to assess their reliability, safety, and ethical alignment. In response to this challenge, the MESIAS initiative was developed. MESIAS is a web-based platform that provides a framework for evaluating AI systems through the lenses of ethical principles and international governance frameworks. The tool has a virtual assistant, adaptive forms, and a monitoring dashboard to encourage responsible development among technical teams and decision-makers. The validation process for MESIAS comprised three distinct steps. A preliminary investigation into the organization's operational efficiency was conducted in collaboration with the internal audit and financial management teams. This assessment revealed a substantial 41.8% reduction in total assessment time and a 40% reduction in the necessity for human resources. Secondly, an expert judgment was validated with leaders of technological areas, whose results reflected a general acceptance of 85% and offered strategic recommendations for the tool's scalability. Finally, a validation of satisfaction with 52 technology professionals revealed elevated levels of satisfaction: 92% for usability, 94% for content, 91% for follow-up, and 95% for overall satisfaction. The study results indicate that the MESIAS strategy is a practical and effective approach to enhancing ethical governance in AI, particularly in public settings. The MESIAS strategy fosters more responsible and informed decision-making processes.
Keywords: artificial intelligence, Ethical Guidelines, Evaluation tools, governance, Risk Assessment, security, usability, web platform
Received: 29 Aug 2025; Accepted: 20 Nov 2025.
Copyright: © 2025 Santisteban, Romani and Avendaño. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: José Santisteban, pcsilsan@upc.edu.pe
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