AREAS research brief01 / 03
What shapes public support for AI in policing?
A study of how attitudes toward AI, AI knowledge, confidence in law enforcement, and views on police funding relate to support for AI in policing.
Read the briefA focused AI engineering service
Your reports.
A dataset your team
can use.
Extract the information you need, check it against its source, and review exceptions before using the records in your analysis.
See the review process
From source
to checked record.
Explore one part of the pilot: choose a public research brief, inspect the information and its supporting passages, then approve and export a record.
A missing value stays visible. Each result keeps its source attached.
Open the full records workspace Try the workflow Three simple steps
Report → Dataset
From a brief to useful data.
Choose a brief, check its fields, and download the result.
4 structured fieldsWith source references and evidence limits
Check the evidence.
Select a field to inspect its source.
Public support for AI
Check the source before approving.
Reviewed by you
Ready for your dataset.
One structured record. Its source stays attached.
| Field | Reviewed value |
|---|---|
| Study design | Cross-sectional survey; structural equation modeling |
| Sample / unit | 583 people |
| Population / setting | Respondents in three northeastern US states |
| Evidence boundary | Associations only; no causal effect established |
CSV includes the citation, source link, review status, and evidence boundary.
View the CSV
What you receive
Three concrete outputs.
The pilot connects a usable dataset to the workflow and tests behind it.
A documented dataset
Structured records, source references, a field dictionary, and clear handling of missing or unresolved information.
An extraction and review workflow
A tool for the agreed document family, with source inspection, exception handling, and the agreed dataset export.
A test report and next-step plan
Results against the agreed baseline, remaining failure cases, operating-cost estimates, and a recommendation on further use.
What we need from you
Start with the records
and the job they serve.
A useful pilot begins with representative material and someone who can judge the result.
Representative reports
An agreed document family, examples of difficult records, and permission to use the material for the project.
A useful output schema
The fields and categories your team needs, including definitions, missing-value rules, and required source references.
A process and a reviewer
How the work happens today, who can judge the results, and which errors matter most to the decision.
How we judge the work
Useful is something
we test.
Agree the acceptance criteria before implementation. Keep test records separate from development, then examine the results with the people who will use them.
- Field accuracy
- Compare extracted values and categories with human-reviewed records held out from development. Assess important fields separately.
- Source support
- Check that extracted values are supported by their cited passages and that missing evidence remains visible.
- Exceptions and missed cases
- Test difficult records, missing fields, conflicting information, and the cases that require human review.
- Effort and cost
- Compare processing time, human review effort, and model or infrastructure costs with the current workflow.
- Usable handover
- Verify the agreed export, document the processing steps, and review the limitations with the person who will use the results.
Targets depend on the field, the document quality, and the cost of an error. The assessment establishes the baseline and the proposed tests.
How you buy the work
A decision at each stage.
Each phase has a defined scope and fee. A pilot does not commit you to a wider rollout.
- 01
Paid workflow assessment
Inspect representative records, define the fields, and assess feasibility. You receive a scope, baseline, test plan, and a separately priced pilot proposal.
- 02
Bounded pilot
Build and test the agreed workflow. Deliver the dataset, tool, and evaluation report. The findings may support proceeding, revising the approach, or stopping.
- 03
Deployment, if it earns its place
Agree production integration, hosting, access, monitoring, and ongoing support as a separate phase, based on the pilot results.
Scope and handover
Know what is included.
Know what comes next.
The proposal defines the document formats, fields, record volume, review process, export, tests, and handover materials. It also specifies rights to project outputs and code, including any third-party components.
Additional document families, historical backfills, production integrations, hosting, access controls, monitoring, and ongoing support are scoped separately. Data access and handling are agreed before records are shared.
Define your first projectBefore we begin
Practical questions.
Is this an off-the-shelf software subscription?
This is a scoped engineering service for your workflow. The proposal specifies what will be built and handed over. Hosting, licensing, and support are agreed separately if needed.
Can we begin with several kinds of reports?
We assess the formats together and agree an initial document family. Additional formats, languages, or extraction tasks change the test requirements and are scoped explicitly.
Who owns the code and the results?
The proposal specifies rights to your data, project outputs, custom code, and any pre-existing components. It also identifies third-party licenses and the materials included in the handover.
What if the pilot does not meet the agreed tests?
You still receive the test results, error analysis, and a recommendation. We make the remaining limits explicit so you can decide whether to revise the approach or stop before a wider rollout.
Can we send reports in the first inquiry?
Start with a description of the workflow and the material involved. Leave confidential records out of the initial email. Data access, handling, and the processing environment are agreed before records are shared.