Universiteit van Amsterdam (UVA) • Kunstmatige intelligentie

Summary of the article “Interactive intent modeling: Information discovery beyond search” by Ruotsalo et al. (2015). About an alternative to search engines that combines interactive intent modeling and visual user interfaces.

Summary of the piece “Vector-space models of words and sentences” by Repplinger et al. (2018). It describes in 4 steps how NLP made the transition from logic-based models to contemporary vector space models.

Summary of the piece 'Fair prediction with disparate impact: a study of bias in recidivism prediction instruments' by Chouldechova (2017). About the problems of AI systems that predict recidivism.

Summary of the piece “Big Data ethics” by Zwitter (2014). About the ethical challenges that Big Data causes.

Summary of the piece 'The (Big) Data security assembly: Knowledge and critique' by Aradau & Blanke (2015). About views on Big Data and its criticisms.

Summary of “Symbols and Search” by Newell & Simon (1976). About physical symbol systems and how they are used in AI.

Summary of “Intelligence without representation” by Brooks (1991). About the possibility of intelligence without representation and its benefits for artificial intelligence.

Summary of the article “Machine learning: Trends, perspectives, and prospects” by Jordan & Mitchell (2015). It covers various aspects of and concepts in machine learning.

Summary of the piece “Neural-symbolic learning and reasoning” by Besold et al. (2017). It's about neural symbolic models that combine connectionist and symbolic representations into one model.

Summary of the text “Symbolism vs. Connectionism: A Closing Gap in Artificial Intelligence” by Wang (2017). About the differences between symbolic and connectionist AI.