Marginalized Groups and Data-Driven AI: a Human-Centric Approach
Why are marginalized groups disproportionately affected by the negative aspects of Artificial Intelligence (AI)? And (how) can we move towards the other side of the medallion: benefiting vulnerable groups in society – vulnerable or marginalized meaning perceived and made vulnerable by institutionalized discrimination and through the outdated misconception of the survival of the fittest- through […]
Add fairness to your Data Quality Frameworks!
Data Quality Frameworks Getting the requirements right for the data set used to train AI systems is a hot topic. It’s a complex issue that Data Quality Frameworks can help to resolve. Effective Data Quality Frameworks (DQFs) today monitor a range of data quality dimensions including completeness, accuracy, validity, timeliness, accessibility and consistency. But not […]
A sustainable clothing choice by AI
We built a database with 2000+ clothing brands with a sustainability rating. In this article, we walk you through the interesting parts of the process. This is how we help to make a sustainable choice in clothing. The code is available open source for you to explore and improve. The fashion industry is impactful, let’s […]
Could Artificial intelligence help you buy sustainable clothing?
Since the horrible Dhaka collapse in 2013, the situation concerning working conditions has somewhat improved and clothing brands are trying to make a change. However a lot more can and should be accomplished. The modern fast-fashion industry is still dominated by the pressure to produce fast and cheap. Every time you buy a piece of […]
Green Voting Explained
The number of Green Members of the European Parliament (MEPs) has grown in recent years, thanks to research on the effects of climate change and to environmentalist movements such as Fridays For Future. Finding a pattern in Green voting behaviour would allow us to test the current theories in the literature and predict new trends. […]