— 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

— Mar. 13 2015: Why linguists are needed by George Lakoff — webcast available

Webcast available of presentation by George Lakoff on Friday March 13 2015 “Why linguists are needed: The severe limitations of big data analysis of linguistic corpora” arguing that “big data statistical methods by themselves were hopeless” in a multi-million dollar project on analyzing the conceptual metaphors in a vast corpus of US intelligence documents. George READ MORE

— Jun. 05 2015: ExProM Workshop

Workshop Extra-Propositional Aspects of Meaning (ExProM) in Computational Linguistics June 5, 2015. Collocated with NAACL 2015, Denver, CO, USA http://www.cse.unt.edu/exprom2015/  During the last decade, semantic representation of text has focused on extracting propositional meaning, i.e., capturing who does what to whom, when and where. Several corpora are available, and existing tools extract this kind of READ MORE