Literature & Languages

If you work in Literature or Modern Languages, the AI-assisted tasks most relevant to your work are close reading and textual analysis, translation and language work, and teaching preparation. The discipline's emphasis on stylistic nuance, interpretive complexity, and the irreducibility of literary language to paraphrase gives it a distinctive — and sometimes adversarial — relationship with AI tools.

Suggested reading order

1. Start here: Close Reading & Textual Analysis — using AI for literary analysis, argument mapping, and engagement with critical literature.

2. Translation & Language — working with translation across modern and historical languages. Includes guidance on iterative engagement and the gap between fluency and accuracy.

3. Teaching & Assessment — preparing seminars, tutorials, and assessments. Particularly relevant for designing assignments that require genuine literary engagement rather than surface fluency.

See also: Archives & Manuscripts if you work with literary archives or manuscript traditions.