Panel: Responsible AI: From Principles to Practice
Panelists:
- Atia Cortes – Established Researcher, Barcelona Supercomputing Center
- Pablo Jimenez Arandia – Investigative reporter and freelance journalist
- Albert Sabater – Director of the Observatory of Ethics in Artificial Intelligence of Catalonia (OEIAC)
- David Cabo – Co-Director / CTO, Civio
Chair: Maria Eugenia Cardello – Research Engineer, Barcelona Supercomputing Center
Panel Abstract:
AI is increasingly being used across the public sector, from policy analysis and evidence generation to public services and administrative decision-making. As these systems move from experimentation into real-world deployment, public institutions face a practical challenge: how can Responsible AI principles be translated into the way AI systems are selected, designed, implemented, evaluated, and monitored? This panel brings together experts from research, civil society, and public-sector innovation to discuss concrete experiences of implementing Responsible AI. Speakers will share cases, challenges, and lessons learned around issues such as transparency, bias, accountability, human oversight, risk assessment, and evaluation. The discussion will focus on what works in practice, where current governance approaches fall short, and what organisations need to build in order to use AI responsibly while protecting the public interest and citizens’ rights.
Questions:
- What does Responsible AI look like in practice? What organisational, technical, and governance mechanisms are necessary to translate principles such as fairness, accountability, transparency, and human oversight into measurable and enforceable practices?
- When an AI system produces a biased, inaccurate, or harmful outcome, how is responsibility allocated between the technology provider, the public institution, and the human professional using the system? What mechanisms are needed to make accountability work in practice?
- How should Responsible AI approaches evolve when AI systems become part of the infrastructures on which organisations and public institutions depend? What does responsible governance require beyond the model itself, including data, workflows, institutional capacity, procurement, and technology dependencies?
