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Lessons in how (not) to be heard []

Lessons in how (not) to be heard

Lesson III of Hito Steyerl’s How Not to be Seen: A Fucking Didactic Educational .MOV File (2013) is entitled “How to Become Invisible by Becoming a Picture”. There are seven ways, the narrator explains - “to camouflage; to conceal; to cloak; to mask; to be painted; to disguise; to mimicry; to key.” Steyerl smears her hands across her cheeks, and the marks she leaves quickly merge with those of the colour chart behind her; as if she is becoming transparent; becoming the picture of the lesson’s title (of course, from the viewer’s perspecitve, she already was). And then we see a satellite image zooming in on a location in the California desert. Three blocks of colour: two white; one black. Around 2000, we are told, a new standard for satellite resolution targets like the one we are looking at was introduced. “In 1996, photographic resolution in the area is about 12-metres per pixel. Today it is one foot. To become invisible, one has to become smaller or equal to one pixel.”

There is so much in this passage. It brings to mind the practices of camouflage and masking developed by protestors in Hong Kong, in an attempt to thwart facial-recognition systems embedded throughout the city; but also Zach Blas’ Face Cages, which both obscure the face and encase it. Such is the logic of all masks, of course. Blas just makes the point particularly clearly. Under conditions of ubiquitous computer vision, anonymity comes at a cost.

The ambivalent politics of (in)visibility are made even starker in Forensic Architecture’s work on Western drone strikes in Pakistan, Afghanistan, Yemen, Somalia, and Gaza.

“The pixel resolution of contemporary, publically available satellite images is not only a product of optics, data storage, or bandwidth capacity, but of legal regulations that bear upon political and even geopolitical rationales. Throughout the height of the drone campaign and for the entire duration of our investigation, the resolution at which satellite images were made publically available was legally kept at 0.5 meters per pixel [ie about a foot]. The reason for halting the process of improving the resolution of publically available satellite images was that at 0.5 meters, the pixel resolution corresponds to the dimensions of the human body - an area 0.5 meters by 0.5 meters is roughly the size of the human body as seen from above.” 1

So for Forensic Architecture, as for many others, the political challenge is not (or not just) how to become invisible, but how to ensure that certain state practices and injustices do not remain so. “War is invisible,” Steyerl tells us. “Capital is invisible.”

What would it mean to think about machine listening this way? To recognise the importance of not being heard: to make inaudibility a political demand; to develop a structural critique of surveillant and extractive listenings alongside more insurgent tactics for rendering oneself or one’s community inaudible. But at the same time to recognise that audibility is also something to be fought for; that very often it is a condition of poilitical participation, or of justice; and to hold open the possibility of a machinic counter-listening; of listening-back.

What is the acoustic equivalent of resolution? Perhaps fidelity; a word that also suggests responsibility. The question is not so much whether to be heard or not, but rather how, why and by whom. This would be one possible starting point for a politics of machinic fidelity.

Lesson 1: How to become (in)audible by disabling silicon ears

With difficulty; name machine listening as an object of political contestation and struggle; describe some of its features, as they are clarified by the pandemic; become an artist becoming a paradigm dissident; dismantle capitalism and abolish big data, since they are increasingly difficult to disentangle; produce a diverse counterculture of machine listening; imagine a machine listening centered in country; demonstrate and mock machine listening in its thoughtlessness; demonstrate and mock the machine listening industry in its thoughtlessness; write a policy document, but with artists as well as lawyers; seize the data centres.

Lesson 2: How to be (in)audible in the presence of microphones

Tear them down or rip them out; be somewhere loud; mask your speech with noise; jam signals; invent the privacy industry; never use a telephone, or a smart speaker, or a car, or a city; ask Siri; cover your laptop with sticky tape; have a speech disorder or an accent; write a manifesto on audio luddism; invent new languages; develop an open source voice training app for trans women; autotune everything; be female and over 50, or indigenous; speak Wiradjuri.

Lesson 3: How to make yourself (in)audible by being out of earshot

Be very quiet; refuse to attend the teleconference; live in the right neighbourhood; live in the wrong neighbourhood; use encrypted audio.

Lesson 4: How to become (in)audible by merging into a world of operational sound

Speak in code; become the code you speak; entitle your next album Adversarial Music Synthesizer (Threat Model); embed subliminal messages in it, but for Alexa; get an Amazon Halo for Christmas; get your cough medicine delivered the day before you start coughing; allow machine listening’s attempted perfection of the subject to extinguish the subject.

Lesson 5: How to be (in)audible by having nothing to hide

Enjoy being listened to; get your coronavirus diagnosis over the phone; get your coronavirus diagnosis without asking to be tested; let google book your haircut for you; ask your voice assistant for advice about your polyamorous relationship; listen to “ambient music for reading” on your smart headphones, forever; become an evangelist of technosolutionism; allow yourself to be convinced that the main problem is privacy; petition the court for access to your partner’s Alexa archive; enjoy extraordinary rendition and extrajudicial drone killings; enjoy being unable to get a loan or access state services and not knowing why.

ML

Bibliography


  1. LIBRARY Forensic Architecture, Violence at the Threshold of Detectability (2017),p27. ↩︎