SPECIAL EVENT
Data Ethics and Quality in the AI Era
As artificial intelligence systems become increasingly embedded in our lives, ethical concerns around data have taken center stage. Data is not neutral - it reflects human decisions, societal structures, and potential biases. When poor-quality data - often noisy, inconsistent, or incomplete - is used to train AI systems, it can amplify existing inequalities and lead to unfair or unreliable outcomes.
This makes data quality a critical ethical issue. Ensuring fairness, transparency, and accountability in AI requires not only rigorous technical design, but also a careful evaluation of the data that fuels these systems.
In response, the European Union has introduced the EU AI Act-its first comprehensive regulation on artificial intelligence. Much like the GDPR transformed data protection, this legislation aims to set a global standard for responsible AI, promoting safety, sustainability, and ethical integrity while supporting innovation.
This regulatory landscape is further enriched by the Data Act, which complements the GDPR without undermining it. The Data Act reaffirms that it does not create a new legal basis for the processing of personal data and emphasizes the importance of key principles such as data minimization and privacy by design and by default - both essential for maintaining trust in data - driven technologies.
Among the tools identified to ensure the reliability and fairness of AI, metrology - the science of measurement - plays a key role. By promoting accuracy and transparency, it helps build systems that people can trust.
For this reason, MetroXRAINE, where Metrology and AI are foundational pillars, will host a panel discussion with experts in ethics, law, sociology, and AI to explore how we can shape equitable and responsible AI ecosystems.
