Translation Ethics and the Limits of AI: Faculty Source Packet
A faculty-reviewed reader for ASHA-204 introducing translation ethics and the limits of ai through transparent methods and evidence boundaries.
Orientation
AI can assist with glossary lookup and pattern comparison, but can invent forms, verse references, and confident grammatical claims.
Core concept
Every AI-generated language claim should be checked against an approved dictionary, grammar, edition, or faculty source.
Evidence and method
A translation should distinguish literal structure, readable English, interpretive expansion, and unresolved ambiguity.
Application and limits
Intellectual honesty requires saying “I do not know” when evidence or training does not justify certainty.
What the evidence establishes
Every AI-generated language claim should be checked against an approved dictionary, grammar, edition, or faculty source.
What remains interpretive
The course requires students to distinguish disciplinary evidence from theological or philosophical interpretation and to state uncertainty where evidence is incomplete.
Seminar questions
- Which claim is most strongly established?
- What alternative explanation deserves consideration?
- How would stronger evidence change the conclusion?