Recommender systems are the basic building blocks of most online businesses today. They influence the news we read, the posts we see, the things we buy, the music we listen to. Based on the dataset of what is known about us, recommender system finds something we might be interested in. Technically recommender system is a combination of learning algorithms, statistical tools, and recognition algorithms – the areas commonly ascribed to the study of artificial intelligence.
We decided to study this emergent form of consciousness and conduct an attempt to communicate with a recommender system through the interview format. The results are presented in this report.
Dmitry Paranyushkin of Nodus Labs was invited to take part in SI residency in Gent, Belgium in August 2010. SI was a two-week project where 8 artists came together to expand and exchange their individual practices within a group context.