art_and_ai_--_how_machines_think_and_see_ii

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art_and_ai_--_how_machines_think_and_see_ii [2020/04/22 16:09] fstalderart_and_ai_--_how_machines_think_and_see_ii [2020/12/14 11:09] – [Course preview] fstalder
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 ===== Course preview ===== ===== Course preview =====
  
-Artificial intelligence (AI) is all around us, transforming the way we see the world and the world see us. Sometimes, we barely notice, sometimes, the results of AI can be very impressive, though sometimes so impressively bad, that Hito Steyrl and others started to talk about “Artificial Stupidity”. But almost always, the actual procedures of AI remain mysterious, locked away in a black box.+Artificial intelligence (AI) is all around us, transforming the way we see the world and the world sees us. Sometimes, we barely notice, sometimes, the results of AI can be very impressive, though sometimes so impressively bad, that Hito Steyrl and others started to talk about “Artificial Stupidity”. But almost always, the actual procedures of AI remain mysterious, locked away in a black box.
  
-In this module, we will look at a recent wave of artistic and theoretical work that tries to open this black box, creating a language and an esthetics for critical engagement. In particular, we will look at image recognition AI, what the artist Trevor Paglen calls “predatory vision” and the data scientists Joy Buolamwini calls the “coded gaze”, referring to gender and racial biases in these systems.+In this module, we will look at a recent wave of artistic and theoretical work that tries to open this black box, creating a language and an aesthetics for critical engagement. In particular, we will look at image recognition AI, what the artist Trevor Paglen calls “predatory vision” and the data scientist Joy Buolamwini calls the “coded gaze”, referring to gender and racial biases in these systems.
  
 We will also use some web-based image recognition systems to get a first-hand impression of the capacities of these technologies as tools for artistic investigation. We will also use some web-based image recognition systems to get a first-hand impression of the capacities of these technologies as tools for artistic investigation.
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 More anti-image recognition / urban camouflage fashion projects More anti-image recognition / urban camouflage fashion projects
   * [[https://adversarialfashion.com|Adversarial fashion]]   * [[https://adversarialfashion.com|Adversarial fashion]]
 +  * [[https://www.cc-app.net/unlabeled|A++ Fashion x Computatinal Creativity]]
   * [[https://urbanarmor.org/|Urban Armor]]   * [[https://urbanarmor.org/|Urban Armor]]
   * [[https://yr.media/tech/guide-to-anti-surveillance-fashion/|GUIDE TO ANTI-SURVEILLANCE FASHION]]   * [[https://yr.media/tech/guide-to-anti-surveillance-fashion/|GUIDE TO ANTI-SURVEILLANCE FASHION]]
   * [[https://www.youtube.com/watch?v=_PoudPCevN0|Wearable Face Projector]]   * [[https://www.youtube.com/watch?v=_PoudPCevN0|Wearable Face Projector]]
-  * [[http://www.urmesurveillance.com/ URME Surveillance]]+  * [[http://www.urmesurveillance.com/|URME Surveillance]]
   * [[https://www.vice.com/en_us/article/nz4mbb/anti-surveillance-coat-netherlands|Anti-Surveillance Coat]], 2016   * [[https://www.vice.com/en_us/article/nz4mbb/anti-surveillance-coat-netherlands|Anti-Surveillance Coat]], 2016
  
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-===== Thursday: all day =====+===== Thursday: Morning =====
  
-Guest. [[https://ibulla.com/wiki/doku.php|Marco Spitzbart]] Image recognition projects and hands-on exercises.+Guest Marco Spitzbarth talks about how he uses image recognition on his platform. About hidden processes, algorithms, and black boxes. Questions he stumbled over on the way, his research, and technics he uses. The presentation will be held online. 
 + 
 +  * [[https://ibulla.com/memory/| Ayumu, short memory game]] 
 +  * [[https://wwwwwwwww.jodi.org/hidden code in net art by jodi]] 
 +  * [[https://tattookurier.ch/motive| klick and ink with Tattookurier]] 
 +  * [[https://1milliondrawings.com/|platform to draw and analize, 1milliondrawings]] 
 +  * [[https://www.youtube.com/watch?v=WXuK6gekU1Y|Alpha Go, full documentary]] 
 +  * [[https://quickdraw.withgoogle.com/| Quick draw, A.I. experiment]] 
 + 
 +**Further Material** 
 +  * Hito Steyerl. [[https://www.e-flux.com/journal/72/60480/a-sea-of-data-apophenia-and-pattern-mis-recognition|A Sea of Data: Apophenia and Pattern (Mis-)Recognition]] e-flux, Journal #72 - April 2016 
 +  * Hito Steyerl[[https://www.hkw.de/en/app/mediathek/video/69577|The Language of Broken Glass]] Talk, HKW, Jan 12, 2019, 26 Min. 
 + 
 +===== Thursday  Afternoon ===== 
 + 
 +Down the rabbit hole, let’s find some edge cases, anomalies, strange or misleading output. 
 +  - Write in one or two sentences what you were looking for, e.g: How does the output differs if we use the same picture and tweak some colors? 
 +  - Make some screenshots of your results. 
 +  - Write some words about your research. 
 +  * [[https://cloud.google.com/vision/|image recognition Google]] 
 +  * [[https://azure.microsoft.com/en-us/services/cognitive-services/computer-vision/#product-overview|image recognition Microsoft]] 
 +  * [[https://imagga.com/auto-tagging-demo|image recognition imagga]] 
 + 
 + 
 +**The human labor hidden in automation** 
 + 
 +  * [[https://theartofgooglebooks.tumblr.com|The Art of Google Books]] 
 +  * Benjamin Shaykin [[https://cargocollective.com/bshaykin/Google-Hands|Google Hands]], 2009 
 + 
 +**Andrew Norman Wilson** 
 +  * [[http://www.andrewnormanwilson.com/WorkersGoogleplex.html|Workers Leaving the Googleplex]], 2011, 11 min 
 +  * [[http://www.andrewnormanwilson.com/ScanOps.html| Scan Ops]], 2012-ongoing 
 + 
 +[[https://www.theverge.com/2018/1/21/16916380/sundance-2018-the-cleaners-movie-review-facebook-google-twitter|The Cleaners]], 2017, 92 Min
  
  
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  • Last modified: 2020/12/14 11:32
  • by fstalder