Government and public affairs · AI education
AI workshops for the people writing the rules for AI
The European Commission invited theBlue.ai to Brussels to run AI workshops for politicians and officials. We delivered technical briefings for the Directorate-General for Research and Innovation, covering how the technology works, where it is being applied, and what it means for EU policy and regulation.
Key results
Client: European Commission
The executive branch of the European Union, responsible for proposing and enforcing EU legislation.
- Client
- European Commission
- Engagement
- AI workshops and briefings
- Audience
- Politicians and senior officials
- DG
- Research and Innovation
- Location
- Brussels, Belgium
- Format
- Plain language, no product pitch
In short
The gap between what AI does and what it is said to do
- As the EU moved towards comprehensive AI regulation, policymakers needed a clearer picture of the technology they were writing rules about.
- The distance between what AI can actually do and what it is often claimed to do makes informed policy hard without direct access to technical expertise.
- We prepared briefings for a non-technical audience making highly consequential decisions: how the systems work, where they are already deployed, what regulation has to account for.
- The engagement was not a sales conversation. It was about giving policymakers the technical foundation to ask the right questions.
The starting point
The challenge
Deliver practical, jargon-free AI education to senior EU officials: how the technology works, where it is being applied, and what the real implications are for regulation, ethics and society.
As the EU moved towards comprehensive AI regulation, policymakers at the European Commission needed a clearer understanding of the technology they were shaping policy around.
The gap between what AI can actually do and what it is often claimed to do makes informed policy-making difficult without direct access to technical expertise.
theBlue.ai was invited to Brussels to help close that gap. The engagement was not about selling a product; it was about giving policymakers the technical foundation to make better decisions about AI governance.
The build
What we built
We prepared and delivered workshops tailored to the Directorate-General for Research and Innovation, in a format built for a non-technical audience that has to make highly consequential decisions.
AI fundamentals without the hype
How modern AI systems actually work, machine learning, neural networks, large language models, in plain language. The aim was genuine understanding rather than familiarity with the vocabulary.
Applications, sector by sector
Concrete examples of AI in areas directly relevant to EU policy: energy, environment, healthcare and industry. Each one grounded in a real implementation rather than a theoretical possibility.
What regulation has to account for
We contributed to the discussion around the EU’s approach to AI regulation: algorithmic transparency, data governance, the environmental cost of AI systems, and where the line between innovation and protection sits.
The business models underneath
How AI is changing the way companies operate and compete, which is the economic force any regulation has to work against.
What changed
The results
Commission officials came out with a practical working knowledge of the technology: enough to engage with technical experts, evaluate a policy proposal and ask the right questions about AI regulation.
For theBlue.ai the engagement showed something specific: translating deep technical expertise into clear, usable knowledge for non-technical decision-makers at the highest level of European governance.
Questions about this project
Deliver practical, jargon-free AI education to senior EU officials: how the technology works, where it is being applied, and what the real implications are for regulation, ethics and society.
Workshops delivered on site at the European Commission: Brussels. Prepared for the Directorate-General for Research and Innovation: DG R&I. Focused on AI regulation, ethics and sectoral impact: Policy.
Technology used: AI fundamentals, Machine learning, Large Language Models, AI ethics, EU AI regulation, Environmental impact, Energy and AI, AI business models.
Technology used
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