LExMEtroAI Lab
Activities
Metrology, the Science of Measurement, is the discipline that defines procedures for obtaining correct, reproducible, and traceable measurements, thereby ensuring fairness and transparency across multiple sectors. Its application is not limited to technical fields but extends to forensic contexts—where it helps prevent judicial errors—and legal domains, where it safeguards market functioning and public safety.
With the advent of Artificial Intelligence (AI), the role of metrology has become even more critical. The reliability of AI systems, especially in sensitive areas such as healthcare or the judiciary, depends entirely on the quality of the data on which they are trained. Metrology provides the essential methodological tools to ensure the validity, traceability, and transparency of this data. A measurement that cannot be verified or lacks an uncertainty statement compromises the entire automated decision-making process.
Consequently, metrological validation of data is a fundamental prerequisite for trustworthy and safe AI. Through the definition of specific metrics to evaluate AI performance (both during development and implementation), metrology acts as a guarantor of sustainable and human-centered technological development. The goal is to ensure that AI operates correctly and does not have negative impacts on society, by mitigating the risks associated with poor-quality data.
Mission
Through an interdisciplinary approach, the laboratory aims to contribute to the regulation of AI by critically analyzing, also from an ethical perspective, both legal and technical standards. Within this framework, metrology assumes a crucial and strategic role.
It is precisely in the field of technical regulation that metrological culture becomes essential: it allows the creation of objective, reproducible, and verifiable metrics—indispensable for accurately assessing the risks and benefits of AI and for measuring its transparency and reliability.
Therefore, the laboratory's purpose is to develop tools and metrics to ensure that the development of AI is truly ethical, sustainable, transparent, and respectful of fundamental rights.
Research Topics
With the advent of Artificial Intelligence (AI), the role of metrology has become even more critical. The reliability of AI systems, especially in sensitive areas such as healthcare or the judiciary, depends entirely on the quality of the data on which they are trained. Metrology provides the essential methodological tools to ensure the validity, traceability, and transparency of this data. A measurement that cannot be verified or lacks an uncertainty statement compromises the entire automated decision-making process.
Consequently, metrological validation of data is a fundamental prerequisite for trustworthy and safe AI. Through the definition of specific metrics to evaluate AI performance (both during development and implementation), metrology acts as a guarantor of sustainable and human-centered technological development. The goal is to ensure that AI operates correctly and does not have negative impacts on society, by mitigating the risks associated with poor-quality data.
Mission
Through an interdisciplinary approach, the laboratory aims to contribute to the regulation of AI by critically analyzing, also from an ethical perspective, both legal and technical standards. Within this framework, metrology assumes a crucial and strategic role.
It is precisely in the field of technical regulation that metrological culture becomes essential: it allows the creation of objective, reproducible, and verifiable metrics—indispensable for accurately assessing the risks and benefits of AI and for measuring its transparency and reliability.
Therefore, the laboratory's purpose is to develop tools and metrics to ensure that the development of AI is truly ethical, sustainable, transparent, and respectful of fundamental rights.
Research Topics
- Interdisciplinary Analysis: Examination of AI-related issues through contributions from experts in various fields, SWOT analysis, and review of the international state of the art.
- Standards and Impact: Promotion of technical standards, with analysis of sustainability, risks, and impacts on fundamental rights.
- Metrics and Measurement: Development of metrics and technological tools dedicated to the objective assessment of AI's impact in its areas of application.
- Strategic Vision: Study of the synergies between human and artificial intelligence to define a systemic and long-term perspective.
