Implications of a Rap Neural Network

Tahir Hemphill is creates a neural network to examine how cultural production is influenced by artificial intelligence, ultimately engaging participants to explore what is gained, lost, and transformed in the process. The neural network is trained on the Hip-Hop Word Count, a big data project created by Hemphill that applies Natural Language Processing to a database of approximately 200,000 hip-hop songs from 1979 to the present day. Hemphill’s project is called Implications of a Rap Neural Network.