This brief historical essay argues that one of the most consequential shifts in educational technology has been conceptual rather than technical: the ascendancy of technical rationality as the design logic of pedagogy. Tracing three moments (mechanical instruments, computational systems, and algorithmic infrastructures) the piece highlights how optimization, management, and prediction have tended to reframe what teaching and learning are imagined to be. By reading past innovations as carriers of rationalities, not just tools, the essay urges educators to recognize—and exnovate—inherited assumptions that privilege automation and control over interpretation and encounter.
It is proposed that information theory and Bayesian statistics deserve greater emphasis in the curriculum than they currently receive, that the everyday experience of end-user programming is a more honest starting point than the rhetoric of conversational “agents,” and that the proper aim of AI education is to form cri...
Alan F. Blackwell· Proceedings of the 2026 Unit...· 0 citations
I propose that mathematicians who use AI in research maintain a research profile: a record of what the system has learned about working with them, where those lessons came from, and whether they remain useful. I describe how such a profile grew out of my own mathematical work, through corrections, failed approaches, an...
An essay, based on a public lecture delivered at the 2026 International Congress of Mathematicians, on how the mathematical community might respond to the arrival of artificial intelligence tools that are capable of performing research-level mathematical tasks. Rather than debating the capabilities of such tools, we co...
Artificial Intelligence (AI) and Generative Artificial Intelligence (GenAI) have
revolutionised the interaction between humans, knowledge and technology. What
once needed years of formal education, years of institutional access or specialist's
help is now obtained, translated, explained, reorganised in seconds. This
un...
Srija Chakraborty· International Journal of Mod...· 0 citations
Generative AI changes the conditions under which graduate mathematics is learned, assessed, written, and defended. The central claim of this paper is that mathematics graduate programs should respond to the moment by clarifying what graduate mathematics education is trying to teach and assess. In most ways, the goals o...
