Current institutional responses to generative AI in academic and professional settings overwhelmingly frame AI use as a threat to cognitive integrity (Song 2024). This paper argues that such framing reproduces a specific form of ableism: it treats one cognitive architecture—linear, sequential, self-contained—as the only legitimate mode of knowledge production, and excludes individuals whose neurodivergent processing requires external scaffolding to translate insight into communicable form. The paper presents the Aaron Israel Method (AIM): a framework for understanding AI as a voice interface—a cognitive integration technology that allows minds with non-standard architectures to participate in knowledge production from which they are systematically excluded. AIM is distinguished from AI ghostwriting by its preservation of the human contributor’s epistemic authority: the AI structures and articulates, but does not originate the ideas, arguments, or experiential knowledge that constitute the work’s substance. The argument proceeds at three scales. At the personal scale, AI-as-voice-interface functions as assistive technology, and prohibiting it constitutes discrimination against cognitively diverse individuals (Jafry and Vorstermans 2025; Aquino et al. 2024). At the civilizational scale, excluding neurodivergent cognition suppresses the cognitive diversity that research demonstrates is necessary for innovation and complex problem-solving (Axbey et al. 2023; Stolte et al. 2022). At the existential scale, the problems facing humanity exceed human cognitive architecture entirely, and AI-augmented cognition is not optional but required for adequate response (Darras et al. 2024; Wernli et al. 2023). The paper grounds these arguments in extended mind theory (Clark and Chalmers 1998), extended active inference (Constant et al. 2022), innovation diffusion theory (Rogers 2003), evolutionary epistemology (Hoffman et al. 2015), and harm reduction ethics (Pratt 2026b). It concludes that AIM represents not merely an accommodation for disabled individuals but a prototype for the cognitive integration that species-level challenges will increasingly demand.
