This article analyzes computer security rhetoric, particularly in the United States, arguing that dominant cultural understandings of immunology, sexuality, legality, citizenship, and capitalism powerfully shape the way computer viruses are construed and combated. Drawing on popular and technical handbooks, articles, and Web sites, as well as on e-mail interviews with security professionals, the author explores how discussions of computer viruses lean on analogies from immunology and in the process often encode popular anxieties about AIDS. Computer security rhetoric about compromised networks (...) also uses language reminiscent of that used to describe the “bodies” of nation-states under military threat from without and within. Such language portrays viruses using images of foreignness, illegality, and otherness. The security response to viruses advocates the virtues of the flexible and adaptive response—a rhetoric that depends on evolutionary language but also on the ideological idiom of advanced capitalism. (shrink)

Recent developments in artificial intelligence based on neural nets—deep learning and large language models which together I refer to as NEWAI—have resulted in startling improvements in language handling and the potential to keep up with changing human knowledge by learning from the internet. Nevertheless, examples such as ChatGPT, which is a ‘large language model’, have proved to have no moral compass: they answer queries with fabrications with the same fluency as they provide facts. I try to explain why this is, (...) basing the argument on the sociology of knowledge, particularly social studies of science, notably ‘studies of expertise and experience’ and the ‘fractal model’ of society. Learning from the internet is not the same as socialisation: NEWAI has no primary socialisation such as provides the foundations of human moral understanding. Instead, large language models are retrospectively socialised by human intervention in an attempt to align them with societally accepted ethics. Perhaps, as technology advances, large language models could come to understand speech and recognise objects sufficiently well to acquire the equivalent of primary socialisation. In the meantime, we must be vigilant about who is socialising them and be aware of the danger of their socialising us to align with them rather than vice-versa, an eventuality that would lead to the further erosion of the distinction between the true and the false giving further support to populism and fascism. (shrink)