The distribution of symbols in natural language and their meanings are no exception to Zipf’s law: a small amount of observations are very frequent and there is a very long tail of low frequent observations. READ MORE
Month: June 2016
— In the media: Will Artificial Intelligence learn to be biased?
Last week Motherboard published an article featuring a paper by PhD student Emiel van Miltenburg. (Later also published by the Dutch Motherboard.) Van Miltenburg found that the data that is commonly used to train automatic image description systems contain stereotypes and biases, leading to the question whether computers will be biased, too. Illustration from Stereotyping READ MORE