#artists projects

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Alan Warburton - FGBFAQ

2020

https://alanwarburton.co.uk/rgbfaq

Synthetic data is increasingly sought after as a ’clean’ alternative to real world data sets, which are often biased, unethically sourced or expensive to create. And while CGI data seems to avoid many of these pitfalls, my argument aims from the outset to consider whether the virtual world is as clean and steady as we think. I try to catalogue the ‘hacks’ used to construct the foundations of simulated worlds and suggest that the solutions of early computer graphics create a technical debt that might be less than ideal material on which to build the foundations of yet another generation of technology.  

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Paolo Cirio Action in Paris 2020

The series of photos Capture is composed of French police officers’ faces. The artist, Paolo Cirio collected 1000 public images of police in photos taken during protests in France and processed them with Facial Recognition software. Cirio then created an online platform with a database of the resulting 4000 faces of police officers to crowdsource their identification by name. Cirio also printed the officers’ headshots as street art posters and posted them throughout Paris to expose them in the public space. Capture comments on the potential uses and misuses of Facial Recognition and Artificial Intelligence by questioning the asymmetry of power at play. The lack of privacy regulations of such technology eventually turns against the same authorities that urge the use of it. Ultimately, as an activist, Cirio introduced a campaign to ban Facial Recognition technology in all of Europe by organising a petition in collaboration with privacy organisations.

Find more information about the project, here. 

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Screen Time is a community clock project by Helmut Smits in collaboration with V2_Lab for the Unstable Media. Designed to connect strangers through their mobile backgrounds.

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Javier Lloret Pardo - Annotators View

Image Annotators constitute the hidden labour of AI vision. The current ubiquitous techniques of image classification, segmentation and scene description wouldn't be possible without the manual labour performed by image annotators. They are the ones teaching AI-based computer vision to "see". Recent scene annotation techniques ask annotators to point at what they are looking at while describing the scene in a given image.

"Annotators' View" displays the way image annotators see. It progressively reveals only the areas of the image that annotators' look and point at. The site creates an endless loop by randomly selecting images that have been annotated with this technique from different datasets. These images overwrite each other, creating an ever-changing visual collage.

https://www.annotatorsview.online

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source: https://www.designboom.com/art/josh-begley-every-new-york-times-front-page-since-1852-video-03-14-2017/ /  https://joshbegley.com

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evaandfrancomattes  Very excited to announce that we just released to public domain the hires image of our sculpture ‘Ceiling Cat’, through @wikipedia. 

We made an agreement with @sfmoma - who acquired the work - to give up ownership of the photo, so that anybody can copy it, or use it for whatever purpose, free of charge.You’re all welcome to download it and use it!

In the last few years we’ve been fascinated by memes, these weird mutating creatures who populate the Internet.Memes are very popular images that circulate virally and generate endless versions.

Memes defy all art parameters: they’re created collectively, they’re anonymous and free.Ceiling Cat is a sculpture based on an “old” internet meme. It’s a taxidermy cat, peeking through a hole in the ceiling, always watching us, watching it.

It’s cute and scary at the same time, some see it as a symbol of the internet itself: a global surveillance system in an appealing fuzzy wrap.

#ceilingcat #SFMOMA #wikimedia #creativecommons #lolcat 🐈

Source: https://www.instagram.com/p/CAptFEuFIr1/

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The idea for Workers' Forum developed from Takala’s experience as a micro-tasker in the United States, working for a service where users pay to have a pretend girlfriend or boyfriend texting them. Through a crowdsourcing platform, the artist responded to the task ‘Write a text message that is positive, engaging and convincingly written in the voice of someone texting a significant other.’ Takala was fascinated by the potential within the fictional space created in the text message exchange, but like many of the other workers, she was frustrated by the inconsistencies and lack of quality of the service. Many felt compelled to invest extra time and effort into the emotional labour aspect of the role, despite being underpaid and working within a system that is designed to minimise human connection and make caring as difficult as possible. Workers' Forum is based on conversations that took place on a discussion forum between the workers, trying to figure out together how to be an invisible partner.

Supported by Helsinki Contemporary