The rhetoric of the higher education industry regarding artificial intelligence operates by the following premises. While each point might be argued, I think one is clearly not like the others. In this discourse, #4 is generally an unspoken and bridging premise. It is also fait accompli. However, it is absolutely necessary because the first three…
Keep readingAt the start of the academic year, some version of “students these days” often arises. This time it is in the form of AI cheating. There have been a few recently published reports on this matter. In Science, “Generative AI use and misuse call for assessment reform in higher education” (Chirikov, Smirnov, and Kzilcec) looked…
Keep readingFor the first week of class, I’ve put together some of the recent findings from the Pew Research Center that addresses generational responses to AI. These charts come from two summer reports: “Americans and AI 2026: Chatbots, Smart Devices and Views on Impact” (June 2026) and “Young adults in the U.S. are increasingly wary of…
Keep readingIn the last week, several reports detailed Apple’s plan to include cameras in the next version of their AirPods. The product remains in development and the material is incomplete, but a few things have been reported. The cameras have both active and passive modes. The active mode includes users requesting information about what they see…
Keep readingwith frontier AI’s own dream of self-generating code at the forefront. In short, the entirety of AI industry should be watermarked. And from there, this condition flows out across coding and data analysis through every profession that relies heavily on such practices. In other words, we could consider STEM fields, starting with computer science. Simply…
Keep readingIn 2026, there is consensus among the 38 public AAU universities that AI will provide a social benefit. That provision is often expressed as conditional, of course, on the important role of the university. But AI social benefit will arrive, and the university must invest in that future. I could argue there is little evidence…
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My academic career has roughly corresponded with the rise of the internet, and the developments of networked digital media have been the focus of my research for the last 30 years. I have investigated the role intelligent machines play in the ways we communicate, the communities we form, and our engagement with larger world.
My current research (book) project is tentatively titled Empire, AI and Society: Artificial Warfare in the Digital Interregnum. My most recent open access publication is “Living on Digital Flatlands: Assemblies of Computer Vision.” Here’s the abstract.
This article explores computer vision not only in terms of its use with “intelligent” machines, such as autonomous vehicles, but also more broadly in terms of quotidian, digitally-mediated human vision, such as that experienced through smartphones. Drawing on assemblage theory and radical media archeology, I describe the technological processes that link together materially different spatiotemporal assemblages to produce a posthuman condition of computer vision typified by what Wolfgang Ernst terms the “epistemogenic momentum” of “techno-mathematical configurations.” Manuel DeLanda’s flat ontologies prove useful here for describing how assemblages operating in different space-times interact. I then turn to Deleuze and Guatarri’s techno-semiological stratum, specifically their discussion of the stratum’s spatiotemporal superlinearity, to articulate an emerging digital-calculative layer. I argue that understanding computer vision assemblages requires more than setting technical descriptions alongside cultural-ideological critique; it also requires an integrated analysis of the roles digital nonhumans perform in the production of a new visual regime with new capacities and desires. The shared human-nonhuman capacity of computer vision moves sight from the biological and linguistic assemblages of humans into digital assemblages where vision becomes calculable and subject to algorithmic modifications. The results are not only digitally-composed, screened images, but also new means of production, organization, and identity.
Alex Reid, Professor of Digital Rhetoric, Media, and Artificial Intelligence 