Tag: software

How (Not) to Talk about AI

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 friend asks?  How do you explain all those amazing robot videos then?  “No, no,” you admit, “I am not saying there’s no technological innovation, but it’s complicated, you know.”  Sometimes, at this point, it’s best to end the conversation and move on to other matters. (read more...)

In the QDA Test Kitchen, or, What Does It Matter Who Barbara Is?

2014 was the year that the major players in qualitative data analysis (QDA) software released native versions for the Mac. For me, the timing was perfect: my dissertation fieldwork in North Dakota had drawn to a close by summer’s end, and my advisor was encouraging me to roll up my sleeves and start working through my material. I wasn’t sure which software package would serve me best, though, and most of the guidance I could find around the Web declined to make head-to-head comparisons. Then, too, I was mindful of the critiques charging that QDA software of any stripe contributes to the mystification of method and amounts to an overpriced means of avoiding index cards, glue, and scissors. I have nothing against index cards, but with operating system issues off the table and student licenses available for under $100, I decided to see if one of these tools could help me to organize my data and get writing. After sizing up the available options, I downloaded trial versions of two well-known QDA products: NVIVO and Atlas.ti. I knew I was looking for an attractive and intuitive user interface that would allow me to code data in multiple formats: handwritten field notes, interview transcripts, documents I collected in the field. I had little faith that calculating the frequency and co-occurrence of the codes I assigned would unlock some deep, hidden structure of my material. But, taking a cue from one of the founding texts of software studies, I resolved to approach QDA software as an object that “deserves a reciprocation of the richness of thought that went into it, with the care to pay attention to what it says and what it makes palpable or possible.” How, I wondered, would my choice of software package make some kinds of analytical thinking possible and forestall others? What would my choice commit me to? (read more...)