Addictlab at the AI for Good Youth Zone

July 7 – 10 – Visit the AI for Good website https://aiforgood.itu.int/

7 – 10 July

Prompt Workshop

Atelier Prompt  7–10 juillet 2026 «Qualité des prompts, créativité et sobriété numérique »

Atelier Prompting

Johann Sievering – Swissinformatics

Responsible AI Starts with Better Prompts

This interactive 45-minute workshop invites young participants to explore a simple but powerful idea: the quality of a prompt directly influences the quality, reliability and environmental impact of AI-generated responses.

Through a hands-on activity combining physical cards, teamwork and a dedicated web application, participants will learn how to build structured prompts using the RTC-FTC-E framework: Role, Task, Context, Format, Tone, Constraints and Examples. Working in small teams, they will create prompts around key AI for Good themes such as climate, inclusion, creativity and ethics.

Free workshop / register here

7 – 10 July

Inspiration Nest

Addictlab and the SDGzine collaborate with ITU and AI for Good to install a lounge area with our famous Covid, Cosy and Dragon Eggs.

Wednesday 8 July

Introduction to AI for college students and young professionals

Discover how artificial intelligence and machine learning work by creating your own AI model using the BBC Micro:bit. Participants will train a model using motion data from their own movements, then run it directly on the device. Learn how sensors, data, and machine learning power smart technologies in this fun, hands-on workshop.

Learning Objectives

By the end of the session, participants will be able to:

1. Define machine learning and key terms (training, prediction).
2. Collect motion data using Micro:bit sensors.
3. Train a machine learning model using this data.
4. Test and evaluate the model on the Micro:bit.

For who?

Young professionals

private class
private class

Thursday 9 July

Girls in ICT session

Girls in ICT Day

Collaboration ITU & Addictlab

To celebrate the International Girls in ICT 2026 Day theme, “AI for Development”, the AI for Good Global Summit will welcome 60 selected girls aged 8-12 for a unique day of discovery, creativity and inspiration at the intersection of AI and STEM. Participation in the activity will be based on prior registration through partner networks.

Throughout the day, participants will rotate in groups through interactive AI workshops led by AddictLab, combined with engaging exchanges with women working in artificial intelligence, science and technology. Through hands-on activities and direct interaction with professionals, the programme aims to spark curiosity, build confidence in digital skills, and encourage girls to imagine themselves as future innovators and leaders shaping the digital future.

The activity will open with remarks from senior leadership from the International Telecommunication Union, the UK Government (co-organizers) and partner organizations, highlighting the importance of empowering the next generation of girls in technology.

Hosted within the AI for Good Global Summit, the initiative will also showcase the International Girls in ICT Day movement to a global audience of AI leaders, innovators and decision-makers.

Learning objectives:

By the end of the workshop, learners will be able to:

1. Understand core AI concepts and identify practical, real-world applications of AI

2. Use digital technologies with greater confidence and curiosity

3. Explore STEM learning pathways and future opportunities in ICT

4. Connect with women working in AI and STEM, gaining inspiration from relatable role models

For who?

Girls age 8 – 12

Register here

more exhibitions & activities on the Addictlab Booth

Machine Learning with Micro:bit

Discover how artificial intelligence and machine learning work by creating your own AI model using the BBC Micro:bit. Participants will train a model using motion data from their own movements, then run it directly on the device. Learn how sensors, data, and machine learning power smart technologies in this fun, hands-on workshop.

Learning Objectives

By the end of the session, participants will be able to:

1. Define machine learning and key terms (training, prediction).
2. Collect motion data using Micro:bit sensors.
3. Train a machine learning model using this data.
4. Test and evaluate the model on the Micro:bit.

Participation details

  • Times: 
  • Age group:
  • Language:
  • Number of participants:
  • Duration:
workshop

How do computers work

Experience how computers function without screens or code using Turing Tumble, a mechanical computer powered by marbles. Participants will solve logic puzzles, explore how circuits and logic gates operate, and build a deeper understanding of how hardware runs software.

Learning Objectives

By the end of the session, participants will be able to:

1. Explain basic logic operations (AND, OR, NOT).
2. Construct mechanical logic circuits using Turing Tumble.
3. Demonstrate how a series of logical instructions produces output.
4. Compare mechanical and digital computing methods.

Participation details

  • Times: 
  • Age group:
  • Language:
  • Number of participants:
  • Duration:
workshop

Interactive Digital Twins: AI-Driven Disaster Simulation for Humanitarian Decision-Support

This project demonstrates how AI-powered digital twins and 3D terrain simulations can optimize humanitarian response and disaster preparedness. Through an interactive interface, participants can modify physical or digital topographies to simulate localized flood risks, observing how AI models dynamically recalculate critical logistics, infrastructure vulnerability, and evacuation routes.

Fête de la Science – Pays de Gex et Grand-Genève

Presentation of the program Fête de la Science  – October 2 -12

More info