︎ Home
︎ About
︎ Stuff
︎ Contact
︎ Insta
︎ Music
new missing ‘standards’ of mass! streaming additions

Installation view from the group exhibition titled “Simulation/Reality” at Fourteenfifteen Gallery, Albuquerque, New Mexico.

Installation view from “Windows on the Future” in collaboration with 516Arts, Vital Spaces, and Paseo Project. Albuquerque, New Mexico.

Excerpt from “new missing ‘standards’ of mass! streaming additions”

Single Channel Video Display
1hr 20m 30s
“new missing ’standards’ of mass! streaming additions” is a project developed by exploring the relationships between humans and technology, specifically through machine learning, recurrent neural networks, predictive/personalization models, and natural language processing. These algorithmic models feed on large amounts of data as a source to learn from and, in return, predict and produce new data. Whether it's applications such as Facebook, Spotify, Netflix, or Google, or the information, news articles, and images we consume through social media and the internet, these algorithmic systems are hidden complex structures that confirm and influence much of our daily tasks, thoughts, and decisions.

In “new missing ’standards’ of….” I use an extensive data set of text from internet journalism headlines and clickbait articles (3.08 million headlines, written by 21000 authors, from 2010-2015). The data set is given to an algorithm, which is trained on the data and then produces its interpretation of a headline. The results form a combination of fragmented words and sentences that make up the mass amounts of information flowing through our daily lives. Inspired by technologies that can fail, Artificial Intelligence and machine learning are in their infancy and, as a result, produce poor outcomes of computational poetry.

As machine learning and A.I. become more deeply integrated into the technology we use and the information we consume daily, “new missing ’standards’ of….” functions as a critique on human agency, dependency, and literacy of autonomous and invisible technologies while exploring the relationships between human and technology.