Ausgabe 4/2021
Special Issue: Ways of Machine Seeing (1093–1312) // Special Issue: Bio-Art (1313–1394)
Inhalt (31 Artikel)
Excavating AI: the politics of images in machine learning training sets
Kate Crawford, Trevor Paglen
Perceptual bias and technical metapictures: critical machine vision as a humanities challenge
Fabian Offert, Peter Bell
On machine vision and photographic imagination
Daniel Chávez Heras, Tobias Blanke
The brain, the artificial neural network and the snake: why we see what we see
Carloalberto Treccani
Memo Akten’s Learning to See: from machine vision to the machinic unconscious
Claudio Celis Bueno, María Jesús Schultz Abarca
Crossroads of seeing: about layers in painting and superimposition in Augmented Reality
Manuel van der Veen
Artificial intelligence and institutional critique 2.0: unexpected ways of seeing with computer vision
Gabriel Pereira, Bruno Moreschi
Causality, poetics, and grammatology: the role of computation in machine seeing
Iain Emsley
Ground truth to fake geographies: machine vision and learning in visual practices
Abelardo Gil-Fournier, Jussi Parikka
The Nooscope manifested: AI as instrument of knowledge extractivism
Matteo Pasquinelli, Vladan Joler
AI urbanism: a design framework for governance, program, and platform cognition
Benjamin Bratton
What drives bio-art in the twenty-first century? Sources of innovations and cultural implications in bio-art/biodesign and biotechnology
Alexander N. Melkozernov, Vibeke Sorensen
Digitally fabricated aesthetic enhancements and enrichments
Margarita Benitez, Markus Vogl
Visual design for a mobile pandemic map system for public health
May O. Lwin, Janelle S. Ng, Karthikayen Jayasundar, Astrid Kensinger, Sheryl W. Tan
Eden in Iraq: a wastewater design project as bio-art—a confluence of nature and culture, design and ecology, in Southern Iraq marshes
Meridel Rubenstein, Peer Sathikh
Correction to: Excavating AI: the politics of images in machine learning training sets
Kate Crawford, Trevor Paglen