Machine Vision

Machine Vision trademark blue

Machine Vision in Everyday Life: Playful Interactions with Visual Technologies in Digital Art, Games, Narratives and Social Media is a five year, ERC-funded project that explores how new algorithmic images are affecting us as a society and as individuals. Professor Jill Walker Rettberg is the principal investigator of Machine Vision, which runs from 2018-2023. A five page project summary is available.

Introducing our database
Jill introducing Machine Vision to the group

Presented the Machine Vision database for the first time

Jill, Ragnhild and Linn Heidi introduced the database for the first time at Nordmedia in Malmø.

A screenshot of a PDF of a paper.

Preprint at MediArXiv

The Machine Vision team is presenting a short paper at the ACM Hypertext conference in September 2019, discussing the methodology and early findings from the machine vision database. The goal of this part of the project is to map cultural representations of machine vision in art, games and narratives.
Workshop at Solstrand Hotell

Developing the database

The Machine Vision database was the topic of our last workshop at Solstrand Hotel and we are getting closer to a data set that will give us more detailed information on Machine Vision in everyday life.

Photo of a wall with names written on it. In the shiny surface of the wall you can see the reflection of people sitting at tables, and a view of buildings seen out of large windows.

Future Histories of Machine Vision

Scholars, artists and designers met for a two-day workshop to continue work on an anthology to be titled "Future Histories of Machine Vision".

Ny nettside

Follow the Machine Vision project in Social Media

Machine Vision is growing and has a new Tumblr with weekly updates.

This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 771800).