I’ve been thinking a lot lately about community, who we are as a community, what keeps us connected and together, and how community knowledge is stored and distributed. As an anthropologist, my research focuses in part on automation and algorithmic impact on society, in particular, on our relationships and how we maintain them towards common cooperative goals. As such, when technology begins to change our relationship to our local locale (as it has been doing increasingly over time with each new capability), I pay attention to how this changes our physical and social structures, and our relationships to them and to each other.
Recently, Apple Computer, Inc. has branded the privatization of the idea of the commons, by renaming the retail Apple stores as “Town Squares“. In Apple’s definition, these “Town Squares” are where people will gather, talk, share ideas, and watch movies, all within Apple’s carefully curated, minimalist designed, chrome and glass boxes. In this scenario, Apple’s “Town Square” is tidy, spartan, and most critically, privatized. This isn’t new behavior, however, what is new is the context within which Apple is able to do this, from both inside of shopping malls, and from retail locations on Main Streets. Applin (2016) observed that private companies are collecting and replicating community through their networks and communications records . Madrigal (2017) observes that “the company has made the perfect physical metaphor for the problem the internet poses to democracy” . This article provides a discussion of what happens and what we forfeit in these hybrid gathering places between Internet usage and privately owned spaces; and how these hybrid spaces have become enabled in the first place.
Invited post by: Sally A. Applin (@AnthroPunk on Twitter)
I recently finished my Ph.D. As a present, a friend of mine gave me a hand. Not help, which he had done during the process, but rather a battery-powered automated hand, cut off at the wrist, similar to that of Thing, the Addams Family’s servant from TV and film. In part of my thesis, and my research on automation, I’ve looked to Thing as a metaphor for IoT software automation. Thing, on TV, is a trusted friend who builds relationships with family members and can negotiate with others on their behalf. In fiction, and the representation of fiction, Thing works beautifully and embodies what a smart agent could be. It is aware of its surroundings, it builds trust. It connects people. Thing is a keeper of local knowledge. The Applin and Fischer (2013) Thing agent, is a software construct using deontic logic to encourage and support human agency, building trust in a relationship based context. The hand my friend gave me moved on a fixed path for several seconds, and then stopped until its button was pushed again. It looked like Thing, but it was only a physical representation, a simulation of physical form. In automation, data collection is not the same as building relationships, and community knowledge cannot easily be derived from quantitative Big Data. This is one of the more serious problems with Amazon Go.
Amazon Go is a grocery store concept that allows people who have activated the Amazon Go app on their mobile phone, to walk through an “authentication” turnstile into an Amazon Go supermarket. Once inside, people can “grab” what groceries they want or need, and walk out the door, without needing to check out, because Amazon’s “computer vision, sensor fusion, and deep learning” will calculate what people take, and charge them accordingly via the app. Amazon Go has a video on their website that explains all of this, and shows people “grabbing and going” with their groceries, stuffing them into bags or just holding onto them, and walking out. In the Amazon Go video, no one is shown talking to each other. Continue reading