Blog Artificial Intelligence
Comparing cloud AI services against open source libraries for face detection
The three large cloud companies Google, Microsoft and Amazon offer cloud services for many AI tasks. Using these services has practical benefits but also strategic risks: when using a service, you have less control over your AI use. In order to gain insight into the pros and cons of AI services, Elif Kalkan has done…
Sieuwert van Otterloo
Legocolor: a computer vision dataset for learning datascience
The Legocolor dataset is a new dataset designed to test common data science techniques such as k-nearest neighbour and decision trees. The dataset consists of color samples (red, green and blue value) from real world images of Lego and the official lego color of the brick, and the goal is to train a model to…
Sieuwert van Otterloo
The ICTI list of influential computer scientists
Computer, science, AI and privacy-law are often described as new fields of research. This maybe was the case in 1990, but as of now these fields are old: The solutions to most current problems in society are already invented years ago, but not well-remembered. To help ourselves and other people remember all the work, we…
Sieuwert van Otterloo
A checklist for auditing AI systems
As the use of AI increases, the potential impact of using wrong AI system increases as well. It is therefore recommended and often required to audit AI systems. We have talked to several IT auditors and privacy experts to make a checklist on what should be considered when auditing an AI system.
Sieuwert van Otterloo
The Utrecht housing dataset – example dataset for prediction
The Utrecht housing dataset is a freely available dataset that can be used by students to learn about data science and machine learning. It is a synthetic dataset that was derived from actual data about the Dutch hoursing market. Since it is synthetic, it containt no noise, high qulaity data and comes in three different…
Sieuwert van Otterloo