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Working responsibly and practically with AI at the Amsterdamse Federatie van Woningcorporaties

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The client,

The Amsterdamse Federatie van Woningcorporaties (AFWC) is the association of housing associations in the Amsterdam region. The AFWC represents their interests and works on policy, agreements and knowledge sharing around affordable housing.

Client Amsterdamse Federatie van Woningcorporaties
Industry Government
Services Data & AI strategy

The challenge,

At the AFWC, staff work with policy documents, meetings, emails and figures every day. The question was how to make good use of AI’s capabilities without losing sight of the risks. The AFWC wanted everyone to understand how AI works, know what is and is not sensible, and be able to start using it in their own work straight away.

Our solution,

We developed a custom-built AI training programme for the AFWC, delivered in two half-day sessions.

  • The first session focused on understanding how language models work, where they go wrong, what the law requires and how much energy AI uses.

  • The second session was entirely practical. Participants used AI to practise prompting, work with their own source materials, choose between models and settings, and build their own agent.

The approach,

We developed the training with the participants. Between the two half-day sessions, they submitted tasks from their own work as an assignment. Based on those tasks and their feedback, we redesigned the second session as a series of familiar exercises, such as replying to an email, writing meeting minutes and building an assistant. All exercise materials were fictional, so no confidential information was needed.

We researched their questions about privacy and data storage and answered them with supporting sources. The training ended with a handout for reference and a clear next step: keep practising and share knowledge through the AFWC’s own AI working group.

“Thanks to DSL, two training sessions taught us how to use AI in our daily activities to make our work easier and better. Because everyone brought examples from their own work to the second training day, they can already summarise meetings and build agents that take on some of their tasks.”
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E-mail info@datasciencelab.nl Phone +31 (0)20 3636 724 Office Westerdoksdijk 599/601, 1013 BX Amsterdam