algorithms
TPG
2021-06
We live in a world full of images made by machine for machines, from facial recognition technologies to automatic license plate readers and AI image categorisation. What’s more, these new ‘ways of …
TPG
2021-06
Today, we’re sharing the first in a series of posts that will shed more light on how Instagram’s technology works and how it impacts the experiences that people have across the app.
TPG
2021-06
Synthetic Messenger Tega Brain and Sam Lavigne. A botnet that artificially inflates the value of climate news. Everyday it searches the internet for news articles covering climate change. Then 100 …
TPG
2021-05
https://karlsims.com/evolved-virtual-creatures.html Evolved Virtual Creatures Karl Sims, 1994 This video shows results from a research project involving simulated Darwinian evolutions of virtual …
TPG
2021-05
What Does the Algorithm See? Panellists, artist / theorist / curator Rosa Menkman and artist Joanna Zylinska join Dr Rachel O’Dwyer, NCAD.
TPG
2020-08
Image “Cloaking” for Personal Privacy The SAND Lab at University of Chicago has developed Fawkes 1, an algorithm and software tool (running locally on your computer) that gives …
There is an explicit kinship between plantation slavery, colonial predation and contemporary forms of resource extraction and appropriation. In each of these instances, there is a constitutive denial …
2020-06
Lacework is a new work by Everest Pipkin that uses artificial neural networks to reinscribe the videos of MIT’s Moments in Time Dataset.
Perhaps most notoriously, a few years ago, AI researchers Xiaolin Wu and Xi Zhang claimed to have trained an algorithm to identify criminals based on the shape of their faces, with an accuracy of …
A speculative remix that confronts Epic Kitchens, a dataset of first-person cooking videos, with quotations from literature written during or about prior pandemics such as the bubonic plague and the global influenza pandemic of 1918-19.
TPG
2020-01
Early Modern Computer Vision - Leonardo Impett https://docs.google.com/document/d/1LKs82uKkSgQ-4wGUQ4Dwzxgnerx2e6zbHf4iGIHuJmI/edit#heading=h.60chgdizcy6h
TPG
2019-11
Computer vision relies on algorithms to make sense of the world. Unseen Portraits investigates what face recognition algorithms consider to be a human face. We…
TPG
2019-10
Ramon Amaro introduces the basics of machine learning, its criteria for assigning value, the collision between blackness and the artificial, its flaws, and the problem of impunity that all too often …
What do you see, YOLO9000? by Taller Estampa | Soy Cámara YOLO9000 is a trained object recognition neuronal network with a dataset of 9,418 words and millions of images. It is one of the many …
An article from the NYT Privacy Project on the The Racist History of Facial Recognition. Starting with early scientific facial analysis in the 19th century trying to locate through “pictorial …
We introduce the first visual privacy dataset originating from people who are blind in order to better understand their privacy disclosures and to encourage the development of algorithms that can …
Visual Dialog requires an AI agent to hold a meaningful dialogue with humans in natural, conversational language about visual content. Specifically, given an image, a dialogue history, and a …
High Quality Face Recognition with Deep Metric Learning The new example comes with pictures of bald Hollywood action heroes and uses the provided deep metric model to identify how many different …
While humans pay attention to the shapes of pictured objects, deep learning computer vision algorithms routinely latch on to the objects’ textures instead Image: Robert Geirhos …
The reason biases against women or people of colour appear in technology are complex. They’re often attributed to data sets being incomplete and the fact that the technology is often made by people …
Fortunately we are smart people and have found a way out of this predicament. Instead of relying on algorithms, which we can be accused of manipulating for our benefit, we have turned to machine …
TPG
2019-04
i will tell you everything Manetta Berends, 2015 training set = “contemporary encyclopaedia” In the process of making an encyclopaedia, categories are decided on wherein various objects …
Layers of Abstraction: A Pixel at the Heart of Identity Shinji Toya and Murad Khan, 2019 This project centres around a critical examination of the limits of categorisation in machine learning …
TPG
2019-03
What can algorithms know? The present power of algorithms is fueled by another entity: that of data. Generally referred to as big data, large data sets, whose technical history has been well …
For the past six years Heather Dewey-Hagborg has been researching, writing and producing artwork engaging the methodology of ‘forensic DNA phenotyping’. In this essay, she explores a different aspect of this technology and questions: is forensic DNA phenotyping a photographic process?
“AI, Ain’t I A Woman ” - a spoken word piece that highlights the ways in which artificial intelligence can misinterpret the images of iconic black women: Oprah, Serena Williams, …
2017-08
The second part of the interview between Sebastian Schmieg and Nicolas Malevé. Schmieg reflects on his project 'Search by Image' and further discusses machine learning and intelligence as well the politics of image annotation.
TPG
2017-07
prostheticknowledge: Computed Curation Project by Philipp Schmitt creates a book of photography curated and annotated using Machine Learning: Computed Curation is a photobook created by a computer. …
TPG
2017-06
We’ve devised an algorithm that has culled the faces from 130 executives at leading biometric corporations around the world and transformed them into masks for you to print out and wear. Since …
2017-05
Nicolas Malevé interviews the artist Sebastian Schmieg on image annotation, immaterial labour and his TPG commission 'Decision Space'.
Terrorists often use masks, scarfs, and hoods to hide their identities. But a new approach aims to distinguish them using the shape of their fingers when they make the “V for victory” sign.
TPG
2017-01
Men are allowed to show their nipples, women’s get banned: https://www.instagram.com/genderless_nipples/
@lilianafarber‘s work questions the hierarchy of knowledge and the consumption of data. By exploring the complex relationships between pieces of information and their relation to personal and …
2016-11
“The relation between what we see and what we know is never settled.”
2016-11
A net-based work created entirely by algorithms that have been automatically collecting images of six surveillance cameras placed on the US/Mexico Border from 2011 until 2014.
TPG
2016-10
16 states let the FBI use face recognition technology to compare the faces of suspected criminals to their driver’s license and ID photos, creating a virtual line-up of their state residents. In this …
TPG
2016-10
Decision Space by Sebastian Schmieg Decision Space by Berlin-based artist @sebastianschmieg takes a closer look at how machine vision datasets are created: developed on the website of The …
TPG
2016-10
from Katrina Sluis, Future Semantic Web in How To Run Faster 1, published by @arcadiamissa, 2011
2016-09
Our shares and likes, our annotations and social metadata are training a generation of AI agents. Everyday, we are already all teaching bots and algorithms how to look at images. If we consider the extent of our relationship with algorithms, we realise the magnitude of the effort of teaching and learning that is taking place.
And Netflix is giving it to them for free.
vmarinelli: This. Is. Amazing. (via MIT uses radiation to read closed books) The system uses terahertz radiation, the band of electromagnetic radiation between microwaves and infrared light, which …
To ensure people’s rights and liberties are upheld, we will need validation, auditing, and assessment of these systems to ensure basic fairness. Without it, we risk incorrect classifications, biased …