art_and_ai_--_how_machines_think_and_see_ii

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 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.

Date: Week 17, April 20-24, 2020

Time: 10:00 - 17:00

The course takes place online:

Connect through the Zoom app, ID: 7890997001

or through a web browser

https://zhdk.zoom.us/j/7890997001

The password is sent to you by email.

Course requirements:

  • active participation in group activity
  • active individual work (via pad)
  • fictional short story, 2-3 pages, to be handed until Sunday, April 26. (Upload to Paul)

Similarity & Difference

How Image Recognition works, technically

Joy Buolamwini The coded gaze

Another form of Bias:

Further Reading:

  • Eubanks, Virginia. Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor. First Edition. New York, NY: St. Martin’s Press, 2017.
  • Noble, Safiya Umoja. Algorithms of Oppression: How Search Engines Reinforce Racism. New York: New York University Press, 2018
  • Graham, Mark, Rob Kitchin, Shannon Mattern, and Joe Shaw. How to Run a City like Amazon, and Other Fables, 2019. issu.com, PDF
  • Select one story, read it. Write short summary in the pad and how the story relates to the actual company, add your name to the entry
  • short research on image recognition. Select one news story that you fund interesting. Enter the link to the pad and write why you selected this story. Add your name to the entry

Trevor Paglen

Is Photography Over?, 4 Parts, Fotomuseum Winterthur, 03.2014

  • Read these four short parts. Select four sentences that you find interesting and copy them to the pad. Please organize them in the pad according to the section.
  • Select one news story or artwork and add it to the pad. Write a short note, why this story/Work is interesting.

Trevor Paglen & Cate Crawford

Wednesday Afternoon

Research and select the aspect of image recognition, based either on the news story or on art work, on which you want to base your fictional story. Make a first sketch of your story.

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.

Further Material

Down the rabbit hole, let’s find some edge cases, anomalies, strange or misleading output.

  1. 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?
  2. Make some screenshots of your results.
  3. Write some words about your research.

The human labor hidden in automation

Andrew Norman Wilson

The Cleaners, 2017, 92 Min

Collection of News Stories and ideas of short stories

Individual writing of short stories

Possibility of individual mentoring.

  • art_and_ai_--_how_machines_think_and_see_ii.txt
  • Last modified: 2020/12/14 11:32
  • by fstalder