AI-Enhanced ICE Tip Processing

Overview

Development stage

DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.

High-impact designation

Not high-impactSource: c) Not high-impact

Impact justification

Not reported

Start date

2025-05-02 (day precision)Source: 2025-05-02T00:00:00

Withheld from public reporting

Not reported

Mission

Topic area

Law Enforcement

Operational functions

Translation and transcription Derived by keyword rules; see methodology

Problem the AI is intended to solve

This use case intends to solve the problem of the time-consuming manual effort required to review and categorize incoming tips.

Expected benefits

The use of AI in this process enables the Tip Line team to more quickly identify and action tips recommended for urgent case categories. Additionally, the introduction of a BLUF field saves time by providing analysts with a high-level understanding of a tip before they review its details.

System outputs

This solution uses a large language model (LLM) to enrich web tips with two additional data elements: (1) a high-level summary of the tip (BLUF), and (2) a recommended case category. The LLM generates BLUFs in English, regardless of the language used in the raw tip submission. For non-English tips, analysts may click a button to translate the full tip violation summary data element into English. The LLM is configured to only recommend case categories from a list of predefined HSI case categories.

Technology

AI classification

Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).

System name(s)

Case Management & Analytics (CMA)

Custom-developed code

Yes

Public source code

Not reported

Sourcing

How it was built

Purchased from vendorSource: a) Purchased from a vendor

Vendor (as reported)

Palantir

Vendors (standardized)

Palantir

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII

Yes

Privacy Impact Assessment

Not reported

Authorization to Operate

Yes

Demographic features

Not reported

Training and evaluation data

The system uses commercially available large language models trained on the public domain data by their providers. There was no additional training using agency data on top of what is available in the models’ base set of capabilities. During operation, the AI models interact with tip submissions.

Federal Data Catalog

Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Potential impacts and how they were identified

Not reported