Amazing news today: my ERC Consolidator project is going to be funded! This is huge news: it’s a €2 million grant that will allow me to build a research team to work for five years to understand how machine vision affects our everyday understanding of ourselves and our world.

Three images showing examples of machine vision: Vertov's kinoeye, a game that simulates surveillance, Spectacles for Snapchat.

Here is the short summary of what the project will do:

In the last decade, machine vision has become part of the everyday life of ordinary people. Smartphones have advanced image manipulation capabilities, social media use image recognition algorithms to sort and filter visual content, and games, narratives and art increasingly represent and use machine vision techniques such as facial recognition algorithms, eye-tracking and virtual reality.

The ubiquity of machine vision in ordinary peoples’ lives marks a qualitative shift where once theoretical questions are now immediately relevant to the lived experience of ordinary people.

MACHINE VISION will develop a theory of how everyday machine vision affects the way ordinary people understand themselves and their world through 1) analyses of digital art, games and narratives that use machine vision as theme or interface, and 2) ethnographic studies of users of consumer-grade machine vision apps in social media and personal communication. Three main research questions address 1) new kinds of agency and subjectivity; 2) visual data as malleable; 3) values and biases.

MACHINE VISION fills a research gap on the cultural, aesthetic and ethical effects of machine vision. Current research on machine vision is skewed, with extensive computer science research and rapid development and adaptation of new technologies. Cultural research primarily focuses on systemic issues (e.g. surveillance) and professional use (e.g. scientific imaging). Aesthetic theories (e.g. in cinema theory) are valuable but mostly address 20th century technologies. Analyses of current technologies are fragmented and lack a cohesive theory or model.

MACHINE VISION challenges existing research and develops new empirical analyses and a cohesive theory of everyday machine vision. This project is a needed leap in visual aesthetic research. MACHINE VISION will also impact technical R&D on machine vision, enabling the design of technologies that are ethical, just and democratic.

The project is planned to begin in the second half of 2018, and will run until the middle of 2023. I’ll obviously post more as I find out more! For now, here’s a very succinct overview of the project, or you can take a look at this five-page summary of the project, which was part of what I sent the ERC when I applied for the funding.


Discover more from Jill Walker Rettberg

Subscribe to get the latest posts sent to your email.

2 thoughts on “My project on machine vision will be funded by the ERC!

  1. Clare Hooper

    This is excellent news: the project sounds intriguing. Very glad you have been funded!

  2. Jon Hoem

    Gratulerer. Dette ser, mildt sagt, veldig spennende ut. Flott at forskning på dette feltet kommer med litt andre innfallsvinkler en det rent teknologiske.

Leave A Comment

Recommended Posts

Top of a ransom note from Shinyhunters hacking group. Text reads: "SHINYHUNTERS rooting your systems since '19 ;) ShinyHunters has breached Instructure (again). Instead of contacting us to resolve it they ignored us and did some "security patches"."
Networked Politics University politics

UiB self-hosts the open source version of Canvas, so wasn’t affected by the breach

On May 1st Canvas announced a security breach, and then yesterday the system was hacked. The login page was replaced by a ransom note: if universities don’t pay up by 12 May, student data will be released. Here’s what the login page looked like yesterday: Way back in 2015, when […]

AI and algorithmic culture Networked Politics

AI-generated images, fascist aesthetics: Dieselbrølet and Heimatstrom

My German is pretty dodgy, so when I first saw Heimatstrom on Bluesky, shared by Roland Meyer, a professor of visual culture at Universität Zürich’s Digital Society Initiative, I misinterpreted it and thought it was a far-right campaign. But no, Heimatstrom is a group of left-wing environmentalists using fascist AI […]

Photo of a billboard ad at Oslo S train station showing a smiliing conductor and the text "Du må ikke sove. Joda, bare sov du."
AI STORIES

“Du må ikke sove”: a floating motif detached from its meaning (or: LLMs can write Norwegian but miss cultural references)

There’s a new ad for the train between Stavanger and Oslo in Norway that uses a line from Arnulf Øverland’s famous anti-fascist poem Du må ikke sove (“You must not sleep”). Du må ikke sove, you must not sleep, the ad says. And then it flips it, jovially, joda, bare […]

Academics in Norway: Sign this petition asking for research-based discussions of how to use AI in universities

I just signed a petition calling for Norwegian universities to use research expertise on AI when deciding how to implement it, rather than having decisions be made mostly administratively. ,  If you are a researcher in Norway, please read it and sign it if you agree – and share with anyone else who might be interested. The petition was written by three researchers at UiT: Maria Danielsen (a philosopher who completed her PhD in 2025 on AI and ethics, including discussions of art and working life), Knut Ørke (Norwegian as a second language), and Holger Pötzsch (a professor of media studies with many years of research on digital media, video games, disruption, and working life, among other topics).  This is not about preventing researchers from exploring AI methods in their research. It is about not uncritically accepting the hype that everyone must use AI everywhere without critical reflection. It is about not introducing Copilot as the default option in word processors, or training PhD candidates to believe they will fall behind if they do not use AI when writing articles, without proper academic discussion. Changes like these should be knowledge-based and discussed academically, not merely decided administratively, because they alter the epistemological foundations of research. Maria wrote to me a couple of months ago because she had read my opinion piece in Aftenposten in which I called for a strong brake on the use of language models in knowledge work. She was part of a committee tasked with developing UiT’s AI strategy and was concerned because there was so much hype and so few members of the committee with actual expertise in AI. I fully support the petition. There are probably some good uses for AI in research, but the uncritical, hype-driven insistence that we must simply adopt it everywhere is highly risky. There are many researchers in Norway with strong expertise in AI, language, ethics, working life, and culture. We must make use of this expertise. This is also partly about respect for research in the humanities, social sciences, psychology, and law. Introducing AI at universities and university colleges is not merely a technical issue, and perhaps not even primarily a technical one. It concerns much more: philosophy of science, methodological reflection, epistemology, writing, publishing, the working environment, and more. […]

screenshot of Grammarly - main text in the middle, names of experts on the left with reccomendations and on the right more info about the expert review feature
AI and algorithmic culture Teaching

Grammarly generated fake expert reviews “by” real scholars

Grammarly is a full on AI plagiarism machine now, generating text, citations (often irrelevant), “humanizing” the text to avoid AI checkers and so on. If you’re an author or scholar, they also have been impersonating and offering “feedback” in your name. Until yesterday, when they discontinued the Expert Review feature due to a class action lawsuit. Here are screenshots of how it worked.