Metaphor, Anthropomorphism & Explanation Audits
Analyzing how cognitive metaphors—“hallucination,” “learning,” “reasoning”—construct the illusion of mind and obscure the mechanistic reality of AI systems. This is the core work of Discourse Depot: a sustained audit of the language we wrap around machines that predict text.
View Audits đź““Resources & Deep Dives
Corpus-level extractions, pedagogical frameworks, and tools for thinking critically about AI discourse.
Corpus Libraries
Thematic extractions across all audits: reframings, source-target mappings, accountability patterns, and critical observations. Queried from the database and consolidated for cross-document exploration.
Browse Libraries →What Survives?
The deconstruction experiment: strip the metaphors and see what remains. Each text receives a verdict: Preserved, Reduced, or No Phenomenon.
Explore →Glass Box Syllabus
A course framework treating machine instructions as scholarly inquiry. Schema as argument. Iteration as metacognition. Provenance as scholarship.
View Syllabus →Educator's FAQ
"Isn't this just plagiarism?" "Does AI really understand?" A working archive of recurring questions and not so recurring answers.
Read FAQ →Slippage Tools
Interactive learning objects: walk through LLM training and inference step-by-step, seeing the gap between what the language implies and what systems actually do.
Try Tools →Experimental Frameworks
Side explorations applying LLM-driven discourse analysis to other domains. These are works-in-progress, not the main event.
Political Framing
Deconstructing how political actors use language to shape policy agendas, define national interests, and manufacture consent.
View Frames đź“ťCritical Discourse
A dual-track forensic/activist analysis of power relations, agency, and structural ideology embedded in corporate and media texts.