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How (Not) to Talk about AI

April 12, 2017

Most CASTAC readers familiar with science and technology studies (STS) have probably had conversations with friends—especially friends who are scientists or engineers—that go something like this:  Your friend says that artificial intelligence (AI) is on its way, whether we want it or not.  Programs (or robots, take your pick) will be able to do a lot of tasks that, until now, have always needed humans.  You argue that it's not so simple; that what we're seeing is as much a triumph of re-arranging the world as it is of technological innovation. From your point of view, a world of ubiquitous software is being created; which draws on contingent, flexible, just-in-time, human labor; with pervasive interfaces between humans and programs that make one available to the other immediately. Your comments almost always get misinterpreted as a statement that the programs themselves are not really intelligent.  Is that what you believe, your (more...)

Looking at the pain of others (on social media)

December 1, 2015

Reflections on the November 2015 Paris attacks from afar I can’t recall the last time I heard “La Marseillaise” [1] as often as I have in the past few weeks. This is never a great moment for me. As for many fellow French citizens, the vindictive and blood calling lyrics of our national anthem have always triggered a feeling somewhere between discomfort and straightforward rejection.[2] Things were not different on that Sunday morning, November 15, 2015. Like many others—Francophiles or not, Francophone or not, or French or not—I was struggling to find words to explain what happened in Paris on the night of Friday the 13th to my five and seven year old kids. I was thinking our family could later join the crowd gathering in front of the San Francisco City Hall to grieve collectively, which was important as we felt so far from friends and relatives, and powerless. But (more...)

Social Science, Socialist Scientists, and the Future of Utopias

September 29, 2015

As space colonization becomes a more serious project and an influential utopian imaginary, I am reminded of British scientist and communist JD Bernal’s 1929 warning about “human dimorphism”: Bernal wondered about a future in which “mechanizers” would live an enhanced, technoscientifically-evolved form of life, separated from the “humanizers,” the masses whose physical needs would be equally gratified thanks to scientific advancements—but who would prefer to exist in an atavistic human way, enjoying mundanities such as friendliness, poetry, dancing, drinking, singing, and art. His figure for that version of the good life seems to have been filched from whatever exposure he had to colonial anthropology—he calls it the “idyllic, Melanesian existence.” The mechanizers, on the other hand, would transform themselves biologically and psychologically, moving down a different evolutionary path towards a different destiny—a vision dear to present-day transhumanists, who from early on were among the strongest advocates of space colonization, and (more...)

Crowdsourcing the Expert

February 17, 2015

"Crowd" and "cloud" computing are exciting new technologies on the horizon, both for computer science types and also for us STS-types (science and technology studies, that is) who are interested in how different actors put them to (different) uses. Out of these, crowd computing is particularly interesting -- as a technique that both improves artificial intelligence (AI) and operates to re-organize work and the workplace. In addition, as Lilly Irani shows, it also performs cultural work, producing the figure of the heroic problem-solving innovator. To this, I want to add a another point: might "human computation and crowdsourcing" (as its practitioners call it) be changing our widely-held ideas about experts and expertise? Here's why. I'm puzzled by how crowdsourcing research both valorizes expertise while at the same time sets about replacing the expert with a combination of programs and (non-expert) humans. I'm even more puzzled by how crowd computing experts rarely specify the nature of (more...)

Farewell (But Not Good-Bye)!

December 29, 2014

When Jennifer Cool, Jordan Kraemer and I co-founded this blog we began on a web page and a prayer, or if you prefer, an incantation. Drawing on an “if you build it, they will come” inspiration, we felt that starting a blog would be a great way to encourage more conversation about science and technology studies. As members of CASTAC, the Committee on the Anthropology of Science, Technology and Computing, we felt excited about the organization’s goals, and we sought ways to connect to the other members of the group who chose to hang their hat in this corner of the American Anthropological Association. We launched with a “start-up” mentality in which content was king. Our goal was to bring in guest authors while also sharing our work. Our initial goals were modest: as long as we could consistently put up one interesting post per week, we were happy. I (more...)

Worlding Anthropologies of Technosciences?

October 28, 2014

The past 4S meeting in Buenos Aires made visible the expansion of STS to various regions of the globe. Those of us who happened to be at the 4S meeting at University of Tokyo four years ago will remember the excitement of having the opportunity to work side-by-side with STS scholars from East and Southeast Asia. The same opportunity for worlding STS was opened again this past summer in Buenos Aires. (more…)

Knowledge Transfer, Transparency, IT: An Infrastructure Report from Co-Chairland

August 31, 2014

"Does CASTAC still serve a purpose?" "Should it continue?" This was the discussion at the first CASTAC meeting I attended at the 2006 AAAs in San Jose. It was like coming upon a cadre of fascinating people who share your intellectual proclivities only to hear tell of how this had been a most excellent and renown party—a veritable Cambrian explosion of Anthro-STS—but that was back before you got here, and there was beer. (more…)

What’s the Matter with Artificial Intelligence?

February 18, 2014

In the media these days, Artificial Intelligence (henceforth AI) is making a comeback. Kevin Drum wrote a long piece for Mother Jones about what the rising power of intelligent programs might mean for the political economy of the United States: for jobs, capital-labor relations, and the welfare state. He worries that as computer programs become more intelligent day by day, they will be put to more and more uses by capital, thereby displacing white-collar labor. And while this may benefit both capital and labor in the long run, the transition could be long and difficult, especially for labor, and exacerbate the already-increasing inequality in the United States. (For more in the same vein, here’s Paul Krugman, Moshe Vardi, Noah Smith, and a non-bylined Economist piece.) (more…)

CASTAC: Past, Present, Future

February 19, 2013

As a longtime CASTAC member, I’d like to offer my take on where we’ve been and where we, as an organization might go in the future. My first encounter with CASTAC came at the 1992 AAA meetings in San Francisco. I was a new grad student of Gary Downey’s in the STS program at Virginia Tech; however, CASTAC had been founded earlier. The following brief history is based primarily on “corridor talk,” oral histories passed along informally at AAA meetings and other fora by folks like David Hakken, Lucy Suchman, Julian Orr, David Hess and others. CASTAC, as an organization, began as CAC (Committee for the Anthropology of Computing) at the initiation of David Hakken and a few other anthropologists who were pioneering anthropological studies of computing. David approached Marvin Harris who was, at that time, the President of the General Anthropology Division (GAD) about creating CAC as a Committee (more...)

Looking Ahead to 2013: A Question of Scale

January 10, 2013

The CASTAC community joined together in 2012 to launch this blog and begin dialogue on contemporary issues and research approaches. Even though the blog is just getting off the ground, certain powerful themes are already emerging across different projects and areas of study. Key themes for the coming year include dealing with large data sets, connecting individual choices to larger economic forces, and translating the meaning of actions from different realms of experience. Perhaps the most visible trend on our minds right now involves dealing with scale. How can anthropologists, ethnographers, and other STS scholars address large data sets and approaches in research and pedagogy, while also retaining an appropriate relationship to the theories and methods that have made our disciplines strong? As we look ahead to 2013, it would seem that a big question for the CASTAC community involves finding creative and ethical ways to deal with phenomena that (more...)