I hate doing anything that seems to give Skinner any credit—especially after seeing how critical of him Ellul has been—but associating cleaning off our breakfast bar with lighting a scented candle has worked some behaviorist magic on me.

I don’t know that “inevitable” is the right word to use in the title of this post. What I’m trying to evoke is that specific argument about generative AI that now that it’s here, there’s no going back, so the only real/responsible/whatever choice is to learn to use it properly, teach others to use it, accept it as part of life, etc. These are the arguments that the world is forever changed and that there’s no going back—that the genie is out of the bottle so we might as well harness it.

I recently finished an audiobook of Jacques Ellul’s The Technological Society and have been finding other things to listen to now that I don’t have mid-twentieth century French philosophical reflections on technique to think through anymore. Last night, I began (re)listening to the National Public Radio Star Wars radio drama—adapted by Brian Daley—while cleaning up the kitchen, and I continued listening on the way in to work today. The radio drama is interesting in so many ways! For one, it expands a two hour movie into a nearly six-hour radio serial, and so it crams in a lot of material that isn’t present in the movie (or even—as far as I can tell—the original script).

This is an ambitious book—probably overambitious, and I don’t agree with all of the claims, especially with 60-70 years for Ellul’s ideas to marinate in continued technological development. Yet, his ideas are valuable and prescient—I don’t buy his claims as an ontological argument, but I think they make for a compelling theoretical framework for making sense of lots of what’s happening today.

Last month, I wrote on both my reading up on Jacques Ellul and on concerns about how we understand the purpose and value of research. I’m continuing to read—or, rather, listen to—Ellul’s The Technological Society, and I was interested to find a passage that brought together these two ideas. Here’s Ellul, writing in the mid-twentieth century:

We have already examined the requirement of immediate applicability; here we meet it again on the state level. The state is not disinterested any more than private capitalists, but it is concerned in a different way. The state claims to represent the public interest and hence to have the duty of being a “good manager,” dispensing the public revenues only on condition that they mean something, that they pay off. Disinterested activity on the part of the state is inconceivable. Some may such that such activity should not be impossible; but in fact it is impossible. Neither individuals nor public opinion nor the structure of the state is oriented toward the acceptance of the kind of culture pure scientific research would represent.

So, it turns out that spending time with Jacques Ellul’s mid-20th century critiques of systematization, abstraction, “productivity,” and “efficiency” does NOT make it any easier to write letters evaluating colleagues’ progress toward tenure.

This is a mess of a post blending thoughts on tech policy with religious ideas and lacking the kind of obvious throughline or structure that I’d like it to have. It’s also been in my head for a couple of weeks, and it’s time to release it into the world rather than wait for it to be something better. So, here it is:

I am frustrated with generative AI technology for many reasons, but one of the things at the top of that list is the knowledge that today’s kids are growing up in a world where it is possible—even likely—that their middle and high school experiences are going to involve someone using generative AI tools to produce deepfake nudes (or other non-consensual intimate imagery—NCII) of them. See, for example, this horrifying story from the New York Times last April.

Throughout my career, I’ve been a data-first researcher, and theory has always been one of my weak areas. This is not to say that I dismiss the importance of theory: I appreciate danah boyd and Kate Crawford’s critique of Chris Anderson’s “the numbers speak for themselves” in their 2012 paper Critical Questions for Big Data as much as I appreciate Catherine D’Ignazio and Lauren Klein’s similar critique in their book Data Feminism. It’s just that while I agree that theory is important, I’ve never been well-versed in it—except for the loose theoretical framework of sociocultural learning, multiple literacies, and social communities and spaces that I bring to much of my work (even that work that has gone beyond educational technology research.

I have mixed feelings about the digital library app hoopla—which offers access to ebooks, electronic comics, and other media that my library doesn’t necessarily carry in physical format—but it’s so dang useful that I keep using it despite some hesitations (see this post for some recent complaints). Tonight, though, as I tried to wrap up the introduction to the English translation of Jacques Ellul’s Théologie et technique (which I ought to just buy in French-language physical format, since its publishing house offers 5€ shipping to the U.S.), I noticed something that really made me mad.