Clinic #2 Data Foundations for AI: Weak data, weak decisions
This session was held in English. Recordings of the French and Spanish interpretations will soon be available below.
This is the second session of the “AI Hub Clinic Series” organized by the AI Hub for Social Protection under the umbrella of the Digital Convergence Initiative. The series supports social protection institutions in building the foundations for responsible and effective AI use. By pairing country experiences, enabling cross‑context peer learning, and sharing practical tools, it helps participants assess their own systems and advance their AI journey in a risk‑aware way.
Overview
After exploring institutional readiness in our pilot clinic, we have turned to one of the most critical building blocks of any AI system: data. In this second session of the 6-part webinar series, we took a closer look at how social protection institutions manage large, often fragmented datasets and why strengthening these foundations is essential before deploying AI.
We unpacked what “data readiness” really means in practice, examining the quality, coverage, and completeness of administrative data, as well as the challenges of interoperability across systems. The session also addressed a key risk: how biases and gaps in existing data can translate into unfair or unreliable AI outcomes.
Topics included:
- Data quality, coverage and completeness
- Interoperability between systems
- Bias and gaps in administrative data
- How poor data leads to biased or unreliable AI results
Through real world examples and peer exchange, our open discussion encouraged participants to reflect on how poor data quality can undermine even the most advanced AI tools and, importantly, how to mitigate these risks. The session has equipped participants with practical tools, including a data readiness checklist and a data risk and quality assessment template, to support more responsible and effective AI use.
Download the Data Readiness Checklist
Moderator: Valentina Barca, Social Protection Expert
Speakers:
- Felipe Leão, Executive Director of Innovation and Applied AI, Social Security Information and Technology Company (DATAPREV), Brazil
- Dr. Ann-Kristin Kreutzmann, Senior Data Scientist and Unit Manager at the AI Lab, German Federal Pension Insurance (DRV Bund), Germany
Clinic Series Timeline
- Are you ready to use AI in Social Protection? | April 14, 2026
- Data foundations for AI: Weak data, weak decisions | July 14, 2026
- Responsible AI: Ethics, rights and minimum viable governance
- Beyond Efficiency: What AI can (and cannot) do in Social Protection
- Use-case Scoping: From ideas to responsible action
- Applying the AI Hub Risk Framework
Learn more about the Series
