Category: Reading03

My first instinct thinking about non human photography is to think of the digital tools we use in everyday life. So many of the processes we go through are facilitated by technology and computer vision, taking images that are never to be seen by an organic eye. My first thought was barcode and QR scanning. Every grocery store has both a physical inventory and a digital representation of those items. These digital items can be organized and accessed far more easily, however there needs to be a way for the digital brain to be aware of the physical items which are ultimately what the human users engage with. To buy an item from a store, it has to be documented in a way that distinguishes it from every other item in inventory. Barcode scanning can then be seen as a specialized form of photography which holds no visual representation or significance to humans, but allows a digital brain to be aware of real physical objects.

Amy Wassum  Barcode (2016)

Nonhuman photography as described in the article is the ability for a sensor to capture data that would normally be invisible or inconspicuous to a human. An example of this nonhuman photography would be an MRI scanner, which reveals the insides of a human in slices of volume. A less practical example is Benedict Groß’s “Who Wants to Be A Self Driving Car,” which explores what the data self driving cars parse looks like. Photography from these nonhuman conditions becomes interesting in that it can enhance data that we would never notice, or obscure data that would normally dominate one’s understanding. These images are useful as a lens of understanding, but also as a generator of artistic ideas.

I think that one of the largest projects of “nonhuman” photography that I have experienced and am aware of is Google Earth. When considering what archaeologists can observe from past civilizations, and the excitement of discovering irrigation systems and deeper understandings of the lives of those people, the amount of information that satellite photography provides to us about certain constructions of our current civilization is insane. This sheer scale and detail of the snapshot of the anthropocene that is constantly being built upon and updated to create an incredibly detailed 3D model of the planet offers us an unprecedented view and map of our current age. This type of mapping has, and will continue to lead to new questions and possibilities.

One particular example of nonhuman photography I have experienced are these cameras that people strap to trees in their back yards that take photos when a motion sensor is tripped. The idea is that people can get photos of animals in their back yards without having to physically be there to take the photo. I remember having one on a tree in the woods behind my house when I was a kid, but I honestly don’t remember getting any photos from it despite having a ton of deer and other animals in the area I live in. In theory, though, these cameras allow people to capture images that they couldn’t capture if they were present. A deer or a coyote might be scared off by the presence of a person, so a candid image of that animal might not be possible from a human photographer who doesn’t have a lot of familiarity photographing wildlife.

The use of algorithms, computers, and networks in modern nonhuman photography intensifies the entanglement between the human and nonhuman. It raises questions about intent and control, about how much control a photographer exerts over their camera (I’m using these terms loosely) when the taking of pictures is defined by a script rater than simply a pressing of shutter. I would argue that perhaps the photographer is exerting more control when the taking of the photo is scripted. The photography is precise, consistent, something that is incredibly hard, if not impossible, for someone to do by hand.

I find at certain levels of Zylisnka’s article a clear stating of the obvious that I feel, while important in raising awareness, don’t in my mind present anything that is all that new. For example, this notion of the “Nonhuman photography” being “very dependant on the human element” is somewhat of a circular argument with regards to the human extraction of this photography for the sake of viewership. There is an undeniable element of the human in extracting work for viewing, with the subjective framework of curation connected to this.

The sentiments of the capture of the past and future of humanity, however, I feel is an altogether much more interesting lens of argument. I couldn’t help but feel a strong connection to the notions of science fiction in reading this article, particularly in relation to both Asimov and Heinlein. The idea of posting a system of conceptual and moral discussion such as Asimov’s laws of robotics lens towards this greatly, with regards to a system of moral capture that evolves through time. In my mind, this lends well toward the ongoing development of photography, with the idea of capturing the development of a medium by using that medium itself a powerful parallel to much of human endeavour. [Therein however lies the darker overall message of article in it’s presentation of the human impact on the natural world, as presented in the before and after of us. ] In relating this to the notion of the algorithmic photography, technology is undeniably continually providing “new questions” and indeed new solutions. I say technology primarily as a method of extrapolating away from photography, in my mind within this discussion photography is applied technology, with the novelty of the medium cast away for the sake of capture.

With regards to nonhuman photography I have encountered, Véronique Ducharme’s Encounters is a work that I connect to. Using “a remote motion-detecting hunting camera that uses heat to trigger the photographic exposure” Ducharme creates a series of animal portraits which seek to subvert the natural photographer. While this not only documents, in my eyes, a more accurate depiction of the natural world, it also plays with the notion of the hunting camera as a tool to photographically capture these animals rather than lead to their untimely deaths, subverting the initial expected use of the technology.

I completely agree with Zylinska’s comment. The distinction between human and nonhuman photography, at least as those terms are used in this reading, is blurry at best. There have always been humans involved at some point in the photography process (in most cases; see the last reading), and there have always been machines/technical processes. The procedure for developing negatives is in its own way an algorithm, but no one could call that “postphotography.” However, using technology to capture images that humans physically cannot see with our own eyes does create exciting opportunities that would not have been possible with only traditional photography. One example that comes to mind is the recent image of black hole M87* that was captured by a team of scientists.

They could not simply point a camera at the black hole and take a picture, because no light can escape from a black hole. So they took a series of photos with a network of telescopes, combined them and filtered out noise using algorithms they developed, and ultimately obtained an image of the black hole’s shadow against the light of all the luminous gas around it. Though this was a very complex technical process, it was also the result of a lot of human work and ingenuity–not truly “postphotography” or “nonhuman photography,” then. Just a new method of capture.

An example of “nonhuman” photography that you have either experienced or read about

Reading Zylinska’s “Postphotography” excerpt, the first project that comes to mind for me is Deep Dream. I’m not sure how well it fits into the “photography” category, but the method of creating these images mirrors Zylinska’s accounts of “algorithmic and computational” means of capture.

Respond to Joanna Zylinska’s observation that, “Photography based on algorithms, computers, and networks merely intensifies this condition, while also opening up some new questions and new possibilities.