Technology

DHS to Use Google AI for FOIA Redaction Recommendations

Martin HollowayPublished 2month ago4 min readBased on 8 sources
Reading level
DHS to Use Google AI for FOIA Redaction Recommendations
source:justice.gov

U.S. Customs and Border Protection will use Google's AI tools to recommend information for FOIA officers to redact.

CBP, part of the Department of Homeland Security, is applying the system to Freedom of Information Act responses. DHS planned by the end of September to use AI for documents making up over 10 percent of FOIA requests, totaling around 100,000 to 140,000, according to Engadget. DHS separately described the effort as a way to streamline the identification and redaction of sensitive content when responding to FOIA requests, as reported by The Washington Post.

The workflow keeps a person in the decision chain. DHS says employees will review AI redaction recommendations to ensure requesters receive "accurate and complete" information. DHS says the automation is expected to significantly reduce FOIA processing times.

CBP is not operating in isolation. The Interior Department uses Microsoft tools to redact potential attorney-client information. The Justice Department uses Veritone's aiWARE tool to redact video. The Department of Health and Human Services is developing its own tool called FRED to redact information. An FDA spokesperson said FDA is responsibly exploring limited uses of AI to help FOIA staff process records more efficiently.

A longer FOIA technology pipeline

The current deployments follow several years of administrative work on FOIA processing technology inside the Justice Department. The mission of the DOJ Office of Information Policy is to encourage and oversee agency compliance with the Freedom of Information Act. The office is responsible for developing government-wide policy guidance on all aspects of FOIA administration. It provides legal counsel and training to agency personnel on FOIA. It publishes the United States Department of Justice Guide to the Freedom of Information Act. Kathryn Blankenberg is the Director of the office.

That office hosted a NexGen FOIA Tech Showcase covering Artificial Intelligence tools that may assist with FOIA case processing, according to DOJ. It later sought vendors for NexGen FOIA Technology Showcase 2.0 to present redaction tools including automatic redaction of similar forms and record types including paper, digital content, and videos, according to DOJ. The Chief FOIA Officers Council Technology Committee published working group charters including Artificial Intelligence Video Review and Redaction.

The policy context extends beyond FOIA shops. The White House plans to hire 100 AI professionals to promote the safe use of AI, according to Reuters. Open government and civil rights advocates warn that using AI to answer Freedom of Information Act requests may create new problems, according to NBC News.

The broader context here is familiar to anyone who has deployed document classification in production. Redaction looks like a contained prediction task, identify spans that fall under an exemption and propose them for withholding, but the error costs are asymmetric. Over-redaction withholds releasable material and erodes trust in the process. Under-redaction discloses protected material and can create legal exposure. Human review addresses both failure modes, but only if reviewers have time, tooling, and incentives to override the model rather than accept its defaults.

Looking at what this means for practitioners, the interesting questions are operational rather than theoretical. How often do officers accept, modify, or reject recommendations. How are disagreements logged and fed back into evaluation. How does performance vary across document types, from structured forms to free-text email threads to video. How are privilege calls handled when context spans multiple records. Those metrics will determine whether processing times fall without shifting the effective disclosure rate.

In this author's view, the multi-vendor pattern is worth flagging. Google models at CBP, Microsoft tooling at Interior, Veritone for video at Justice, and a bespoke FRED build at HHS suggest agencies are matching tools to data modalities and existing enterprise stacks rather than converging on a single federal redaction model. That is a pragmatic approach for heterogeneous records, though it complicates government-wide auditing and comparison. The DOJ showcase and working group structure may provide a venue for sharing evaluation methods even where the underlying systems differ.

For FOIA requesters, little changes on the surface. Requests go in through the same channels. Responses arrive with redactions marked under statutory exemptions. The difference sits upstream, in how candidate redactions are surfaced for review. If DHS meets its September scope and sustains reviewer oversight, the near-term test will be simple. Faster queues, with release quality held constant.