The Fairness Handbook to ensure unbiased AI is available to help create fair AI
An Interview with Linda van de Fliert about the Algorithm Register
An interview with geodata legend Nico de Graaff about Spatial Data Science and network analysis
Personal stories from Spectrum Intelligence
Workshop Results: Improving readability of city communications
An interview with Selma Muhammad about finding bias in machine learning
How we ranked in the top 5% of TensorFlow’s Kaggle competition
Recap: The launch of the Amsterdam for All project
Launch of the Amsterdam for All project
We want to offer competitive, ethical, scalable and sustainable solutions to the citizens.
AI for good ensures responsible applications, promotes education, and motivates cooperation between professionals. Together, we will help Amsterdam achieve its ambition as a free, just and sustainable city.
Amsterdam for All
Amsterdam for all consists of a series of experiments to help to measure accessibility in the city.
Internships highlight the amazing work that has been developed by our AI and Data Science students.
3D Point Cloud
3D Point Cloud, rather than pictures, provides a 3D model from the whole city to accurately locate assets.
Street View Panorama Images
Panorama images are collected to add information to 3D models, determine the condition of assets, and mapping.
1.5 Meter Monitor
1,5 MM detects the distance between citizens, helping them to comply with covid regulations.
Object Detection Kit
ODK is an image recognition kit for municipalities to detect different types of objects in the streets.
Deputy Mayor for the Digital City
“I support the development of responsible AI. I think it will be important to Amsterdam as a city and to everyone who lives here.”
from ‘Amsterdam Intelligence’ magazine