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Machine translation can help agencies draft or communicate routine information, but using it for public services requires a current review of applicable law, agency policy, audience needs and document consequences.
For vital or rights-affecting material, use qualified human review and an established language-access process rather than assuming raw machine output is sufficient.
Language access is part of making public services understandable to people who have limited English proficiency. Machine translation can speed up first drafts, help staff understand incoming correspondence and support low-risk internal work. Whether an agency may publish machine-translated material without human review depends on governing law, the agency’s own policies, the audience, and the consequences of an error. The distinction between routine and vital information matters. An error in a casual event announcement is different from an error in a notice about eligibility, consent, deadlines, benefits or rights. The U.S. Department of Health and Human Services describes vital documents as materials that can affect access to or retention in services. The Indian Health Service’s (IHS) 2024 language-access plan instructed its staff not to use machine translation or other AI translation without a qualified human translator before material reaches its intended audience. That is an agency policy example; it should not be generalized as a universal rule for every jurisdiction or department. Current guidance must be checked. The Department of Justice’s 2025 notice says Executive Order 14224 rescinded Executive Order 13166, and DOJ temporarily suspended its prior LEP guidance pending review. Agencies should confirm current statutes, regulations, funding terms, court decisions and department-specific policies with counsel and language-access leads before changing a service. A responsible workflow defines source text, target language and audience; protects personal information; obtains a qualified translator or reviewer when required; and checks meaning, tone, dates, names, reading level and accessibility. For spoken interpretation, machine translation may not handle turn-taking, accent variation or sensitive discussion reliably. Provide a human escalation path and a way for users to request language help. Test the full journey, not only whether a translated paragraph reads smoothly. Track corrections, complaints and task completion. Never use fluent wording as evidence that the translation is legally adequate. AI may assist a controlled process, but agencies remain accountable for access, accuracy and lawful service delivery.
Liggéeyukaay yi ci làkk yi mën nañu gëna gaaw te duñu yàq deggoo gi.
Dafay yaatal jëfandikoo gi ci làkk yi ak ci anam yi ñuy jokkoo.
Ekip yi mën nañu gëna yàgg ci àtte ci jamono ji otomatisation di liggéey ci baamtu.
Public agencies may use translation technology to prepare drafts, expand internal capacity and test service comprehension, but deployment should follow current legal review and quality controls. Maintain language-specific glossaries, qualified human review for high-impact content and a clear interpreter route. Recheck policy after agency guidance changes, and evaluate whether people can actually complete the service. Faster translation is useful only when it preserves meaning and access. Assign owners to update translations when policies or source documents change, and log approvals.
An agency uses machine translation to prepare a draft appointment reminder, then a qualified translator checks names, dates, action steps and local terminology before release.
A benefits office identifies an eligibility notice as vital and routes it through the agency’s approved translation and review process rather than publishing an unreviewed automated translation.
A service team offers a translated webpage plus a clear way to request an interpreter, then tests whether speakers of covered languages can complete the intended task.
A policy group checks the latest federal, state and agency guidance before changing a translation workflow, because older executive guidance may have been rescinded or suspended.
Lépp lu jaarul yoon mën na dugg ci rapoor yi, jàppale ci liggéey bi, wala ci njariñu gëstu bi.
Sensibilite bu gaaw mën na jur njariñ yu wuute ci laajte yu noonu mel.
Done yu am solo mën nañu feeñ sudee seytu jëfandikoo gi néew doole.
Mandargal formaa génne gi, melokaan bi, ak standard kalite yi laata ngay dugal ko.
Tontu yu am solo ak balluwaay yu wóor saa yu dëggu bi di am solo.
Fexeel am barabu xool nit ñi ngir am njariñ yu am solo.
Toppal anami gacce yi ak di faral di tàggataat ay laaj wala def-liggéey.
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Machine translation can help agencies draft or communicate routine information, but using it for public services requires a current review of applicable law, agency policy, audience needs and document consequences. For vital or rights-affecting material, use qualified human review and an established language-access process rather than assuming raw machine output is sufficient.
The decision depends on legal and policy requirements plus the risk and audience of the material.
Vital documents can shape a person’s ability to access or retain services, making mistakes consequential.
The plan stated an IHS policy requiring qualified human involvement; it should not be misrepresented as a universal rule.
The dated DOJ notice says lep.gov operations were temporarily suspended for review and materials would be replaced when new guidance was issued.
Small translation errors in dates or conditions can change what the recipient must do.
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