20121220

To See More Clearly

A few days ago, Evan Selinger wrote an article on Augmented-Reality Racism which has been (unfortunately) gaining some traction around the web. I say ‘unfortunately’, because Evan is a sharp and insightful thinker who can translate dense philosophical ideas into nuanced and popular forms (see his July article on The Philosophy of the Technology of the Gun for a great example), and Augmented-Reality Racism is not that. Since I think there’s some merit to the premise, I’d like to take my own whack at it.

Augmented reality (AR) takes modern computing technology and puts it on the bridge of your nose, interlaying projected images and sounds with your view of the world. Evan hypothesizes that such a technology could be used in a racist manner, either to ‘erase’ people of a certain race from view or to become super-aware of their presence (pulse-Doppler blackdar?). He notes that technologies have frequently embedded racist agendas, like the example of Robert Moses’ low bridges on the Long Island Parkway, designed to block buses--full of black people from the city--from the beaches. Evan concludes by wondering if augmented realities designed to individualize and humanizing the masses in the crowd might be a good way to build social bonds and empathy.

There’s an irritating floppiness to the scenario (does racist AR obscure people or highlight them?), but more fundamentally, the article fails to think deeply about augmented reality or the relationship between technology and race. First AR: Augmented reality is much more than the visible front-end of a head-mounted display. AR (properly, Nathan Jurgenson’s definition of Mild Augmented Reality) is the belief that “The digital and physical are part of one reality, have different properties, and interact.” It’s about “Spiming” as much of the world as possible, so that the qualities and histories of objects can be viewed and understood in those nifty heads-mounted displays.

In many ways, the world is already augmented. Any surface covered with words and other signs and signifiers, which in certain places can be pretty much all of them, is already augmented. Awnings block the rain and advertise stores. Packages conceal the materiality of their contents, while displaying an image. What makes the new augmented reality unique is that digital information is fluid, protean, infinitely customizable and transformative. Much like alchemists, modern entrepreneurs invoke a quicksilver digital as they attempt to transmute the dull substance of commerce into glittering profits.

Race is a complicated topic, far too big to be contained in a short essay, but one of the most interesting sections in Sorting Things Out by Bowker and Star concerns the system of racial classification used in Apartheid South Africa.  From 1948 to 1994, every South African was classified as Black, White, Indian, or Coloured, with segregated housing, employment, and legal rights. Apartheid was an institutional system, a technology backed by a racial pseudo-science, for legitimating and perpetuating the exploitation and oppression of a large portion of the South Africa population.  But it was also a system for generating order, and Bowker and Star explain in detail the Kafka-esque nightmare of lives upended by the arbitrary classificatory decisions of petty bureaucrats. To make this absurd system work, the physical bodies of non-white South Africans had to be ‘augmented’ with administrative tests and pass books detailing precisely what race a person belonged to.

Now, contemporary America is not nearly as racist as apartheid South Africa, but race still matters here, whether it’s on the census form, or in the lived experience of people who experience prejudice, police brutality, and shorter life expectancy. What I find interesting is that as America has moved away from the worst excesses of Jim Crow, racism only becomes visible through technology. We know that the NYPD is racist from their own data on Stop and Frisk, which records statistically higher numbers of searches for African Americans and Hispanics and fewer cases of illegal drug or weapon possession.  If you buy the results from the Implicit Association Tests, pretty much everybody has some degree of racist sentiment. Racism as a matter of systemic bias, rather than overt discrimination, is only revealed through the augmented reality of statistics and demographics, which attach data to people.

There are also interesting patterns in how people of difference races and classes use technology, for example the now classic description of MySpace as a ‘digital ghetto’ afflicted by ‘white flight’, or how twice as many African-Americans use cell phones as their primary form of internet access compared to whites.  Race in America is more than skin color; it’s also cultural, in patterns of speech and metaphor. Even bad ideas sound plausible when presented articulately, with clean graphic design and proofreading. I wonder what would happen to political discourse if we removed this embedded bias towards certain authoritative voices by making everybody present their ideas in ERMAHGERD or after nurbling. Making the form of arguments identical (and ridiculous) might help us focus on their contents.

To return to the premise of the Augmented Reality racism, I’d take the opposite tack from Evan. If race is a matter of surface appearances, than an augmentation that erases these surface differences is likely to make us less racist on an individual level. To flip a popular saying, on the internet we’re all dogs.  And while I’m sure there are some Racial Holy War (link warning: extreme racism) types who would enjoy knowing precisely how many ‘mud people’ there are in a three-mile radius so they could feel threatened and hateful all the time, for most people being more aware of the statistical and systemic patterns of racism (link warning: awesome maps) is useful tool to engage forms of social justice we are currently ignorant of. As for humanizing people, maybe it’s holiday misanthropy, but most people are kinda terrible (link warning: internet Nice Guys), and we probably don’t want to know how much they enjoy Here Comes Honey Boo Boo, or their views on gun control, or the contents of their fridge. Apathy is the lubricant of urban living.

Evan opened with a story about his very Jewish grandmother, and so I’d like conclude with a story about my equally Jewish great-Grandmother, who had very poor eyesight and only got her first pair of glasses late in life. Right after getting her new glasses, she went for her usual walk around the neighborhood with her daughter, and began to sob.
“Ma, why are you crying?” My grandmother (then a young woman) asked her mother.
“Everybody looks so sad,” The old lady said, “Before I could see, I thought they were smiling all the time.”


20121206

PLoS: 10 Rules for Scientific Open Source Software

This weeks's PLoS Computational Biology includes a nice article outlining best practices for openness in scientific code. In short, the article argues that open sourcing research code increases impact and is needed for reproducibility, and that simply releasing source code is insufficient: failure to maintain the project rapidly leads to obsolescence. Building a community can preserve usability with low costs. Ten best practices for open source scientific code are presented:

  1. Don't Reinvent the Wheel
  2. Code Well
  3. Be Your Own User
  4. Be Transparent
  5. Be Simple
  6. Don't Be a Perfectionist
  7. Nurture and Grow Your Community
  8. Promote Your Project
  9. Find Sponsors
  10. Science First: yield control to the community to keep room for research

I've noticed a two additional factors that discourage open sourcing of research code. Research code is often low quality 'Spaghetti code', and researchers do not physically have time to bring the source code up to standards for public release. Additionally, ( and this may be paranoid speculation ) some researchers would rather keep private fast implementations of novel methods to maintain a competitive advantage, leaving other scientists to rebuild the algorithms from scratch.

The article is almost as short as this summary, so head over and check it out.