Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
32
result(s) for
"JOHN CHENEY-LIPPOLD"
Sort by:
We Are Data
What identity means in an algorithmic age: how it works, how our lives are controlled by it, and how we can resist it
Algorithms are everywhere, organizing the near limitless data that exists in our world. Derived from our every search, like, click, and purchase, algorithms determine the news we get, the ads we see, the information accessible to us and even who our friends are. These complex configurations not only form knowledge and social relationships in the digital and physical world, but also determine who we are and who we can be, both on and offline.
Algorithms create and recreate us, using our data to assign and reassign our gender, race, sexuality, and citizenship status. They can recognize us as celebrities or mark us as terrorists. In this era of ubiquitous surveillance, contemporary data collection entails more than gathering information about us. Entities like Google, Facebook, and the NSA also decide what that information means, constructing our worlds and the identities we inhabit in the process. We have little control over who we algorithmically are. Our identities are made useful not for us-but for someone else.
Through a series of entertaining and engaging examples, John Cheney-Lippold draws on the social constructions of identity to advance a new understanding of our algorithmic identities.We Are Datawill educate and inspire readers who want to wrest back some freedom in our increasingly surveilled and algorithmically-constructed world.
eBook
We Are Data
What identity means in an algorithmic age: how it works,
how our lives are controlled by it, and how we can resist
it Algorithms are everywhere, organizing the near
limitless data that exists in our world. Derived from our every
search, like, click, and purchase, algorithms determine the news we
get, the ads we see, the information accessible to us and even who
our friends are. These complex configurations not only form
knowledge and social relationships in the digital and physical
world, but also determine who we are and who we can be, both on and
offline. Algorithms create and recreate us, using our data to
assign and reassign our gender, race, sexuality, and citizenship
status. They can recognize us as celebrities or mark us as
terrorists. In this era of ubiquitous surveillance, contemporary
data collection entails more than gathering information about us.
Entities like Google, Facebook, and the NSA also decide what that
information means, constructing our worlds and the identities we
inhabit in the process. We have little control over who we
algorithmically are. Our identities are made useful not for us-but
for someone else. Through a series of entertaining and engaging
examples, John Cheney-Lippold draws on the social constructions of
identity to advance a new understanding of our algorithmic
identities. We Are Data will educate and inspire readers
who want to wrest back some freedom in our increasingly surveilled
and algorithmically-constructed world.
eBook
Accidents Happen
Catherine Malabou writes of the accident as an \"explosive transformation,\" the becoming of \"someone else, an absolute other, someone who will never be reconciled with them selves again.\" I define three accidental transformations—the use of statistics to invalidate the signature of a multimillion dollar will, the use of statistics to objectify racial categories in the case of People vs. Collins, and the accidental algorithmics that led to the lethal collision of a Tesla autonomous driving vehicle—to demonstrate how statistics and algorithms are fundamentally transformative, resulting in the production of an epistemic other, a \"someone else\" that escapes our own metaphysical assumptions.
Journal Article
Toward an Anthropology of Computer-Mediated, Algorithmic Forms of Sociality/Comments/Reply
This article argues that contemporary, computer-mediated, algorithmic forms of sociality problematize a long and major tradition in cultural anthropology, which has appropriated the notion of artistic style to theorize culture as a relatively distinct, coherent, and durable configuration of behavioral dispositions. The article's ethnographic site is a lab in a major institute of technology in the United States, in which computer scientists develop computerized algorithms that are able to simulate the improvisation styles of past jazz masters and mix them with one another to create new styles of improvisation. The article argues that the technology that allows the scientists to simulate and mix styles is playing an increasingly important role in mediating contemporary forms of sociality over the Internet and that the anthropological tradition that has theorized culture as artistic style has to be reconfigured to account for the dynamic nature of these contemporary forms of sociality not as styles but as styles of styling styles. [PUBLICATION ABSTRACT]
Journal Article