Today, IN THE ‘BEHIND THE SCENES’ SERIES, WE’RE SPEAKING WITH Associate Research assistant at CENTRE FOR EUROPEAN POLICY STUDIES (ceps), Artur bogucki. artur WILL BE TELLING US ABOUT HIS ROLE AND THE ROLE OF ceps WITHIN THE TANGO PROJECT.

Thanks for speaking to us today. Could you start by introducing yourself and telling us where you are based?

Thank you for having us, we are Centre for European Policy Studies a Brussels based leading think tank and forum for debate on EU affairs, with an extensive in-house research capacity and an broad network of partner institutes throughout the world.

How would you describe TANGO with three words only?

Human-machine interaction.

What is your main task in the TANGO project?

Our primary role revolves around crafting a model for human-AI interaction that aligns with EU values. Additionally, we are tasked with assessing Tango’s Artificial Intelligence across surgical, postpartum, creditworthiness, and policymaking contexts through ethical, legal, and socio-economic lenses. Our objective is to inform project partners about the alignment of Tango’s technology with European AI values and to disseminate insights gleaned from Tango’s experiments to stakeholders such as policymakers.

What makes your organisation ideal for participating in the research/activities of TANGO?

We are an interdisciplinary team within the Global Governance, Regulation, Innovation, and Digital Economy Unit, comprising ethics, legal, economics, public policy, data scienice and cognitive science specialists. With extensive experience in evidence-based research across various technological domains, our expertise is complemented by our direct access to state-of-the-art policy information. This allows us to merge it seamlessly with our in-house academic-level research capabilities, enabling us to conduct cutting-edge analyses and recommendations.

Has anything surprised you in the first months of the project?

During advanced technological projects, social science partners can be neglected or relegated to administrative roles. What surprised us during the first month of Tango was the level of involvement we had in most areas of the project following a genuine interest and cooperation from both technical and cognitive science partners. This enables us to delve into every nook and cranny of the conducted research, resulting in assessments containing in-depth insights on hybrid machine learning.

What is one key thing you have learned from working on TANGO so far?

One key insight we’ve gained is that sky-high scientific ambitions are effectively realized when paired with a practical vision. The consortium’s diverse mix of backgrounds and experiences has reinforced this understanding, highlighting our capacity to translate ideas into action.

Thank you for taking the time to speak to us, Artur. We look forward to more updates from the team at CEPS. 

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