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Start with the newsroom problem, not the product
Write a short problem statement before inviting vendors to demonstrate anything. Name the people who will use the system, the step in the workflow it is meant to change, the intended outcome, and the constraints it must respect. Specify what would count as failure, including errors serious enough to make the tool unsuitable even if it saves time.
Compare the proposal with the current workflow and simpler alternatives. The UK Government’s AI procurement guidance recommends requirements based on user needs and outcomes, while Partnership on AI’s newsroom guidance treats adoption as a lifecycle decision involving journalists, editors and organizational leaders. A vendor should be able to explain what its system does, what information it takes in, what it produces and how staff are expected to use that output.
Set a baseline and assign an owner
Before the pilot, record how the task works now. Choose measures that fit the job, such as time, error rate, discovery or coverage outcomes, workload, or the amount of verification required. Name a person authorized to approve the test, review its results and take responsibility if the system is adopted. Partnership on AI recommends tracking efficacy against newsroom benchmarks as well as provider metrics.
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Run a representative pilot and verify the work
Ask each supplier to work through realistic newsroom tasks using representative data and conditions similar to actual use. Define acceptable performance in advance. A demonstration on vendor-selected examples can show what a system is capable of, but it does not establish how reliably it will perform in your newsroom.
Measure usefulness after human review
Keep a record of correct results, material omissions, false positives, uneven performance across relevant subjects or groups, and errors by severity. Measure time saved only after staff have checked the output; also track the extra work needed to verify, correct or investigate it. Preserve failure examples so the newsroom can assess whether errors are occasional, recurring or unacceptable for the task.
The UK procurement guidance supports proof-of-concept testing and ongoing monitoring. The UK Information Commissioner’s Office (ICO) recommends deciding acceptable accuracy before procurement and setting accuracy-based measures or service levels in written agreements. Its guidance is UK-specific; apply the relevant law and newsroom policies elsewhere.
Ask what the system can explain
Ask the supplier to describe the system’s purpose, data sources, model or analytical approach, known limitations and how changes will be communicated. Request documentation that helps staff understand the output and investigate or reproduce important results. The ICO recommends seeking model documentation, evidence about fairness, explainability information and independent evaluation of trade-offs.
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Inventory what the system receives or collects, including unpublished reporting, source documents, personal information, audience data and staff information. For each category, find out where it is processed and stored, who can access it, whether subprocessors receive it, and whether prompts, files, outputs or telemetry are retained or reused—for model training or any other purpose. Establish how data can be deleted or returned.
Partnership on AI specifically recommends asking what information a vendor collects, whether it includes personal information and how it may be reused. Do not assume that a product’s public-facing description establishes its retention, training or access practices; verify the terms for the particular service and contract.
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Protect confidential sources and unpublished work
Treat source material and unpublished reporting as sensitive by default. ProPublica’s published policy says it avoids entering confidential source documents into public AI tools when doing so could compromise privacy. A newsroom should decide which data classes may be used with a service, under what safeguards and with whose approval. If the vendor cannot give clear, acceptable answers about access, retention, reuse and deletion, do not put sensitive material into the system.
Put personal-data arrangements in writing
Where personal information is involved, document the parties’ roles and instructions, the processing purpose and duration, categories of data, security measures, subprocessors, breach support, and deletion or return at the end of the agreement. The ICO identifies these as matters to address in processing contracts. Requirements differ by jurisdiction, so have the appropriate legal or privacy lead review the arrangement.
Keep editorial decisions with people
Set rules for what the system may do, what requires editor approval, what must be independently verified and what is prohibited. Name the human decision-maker for each use and make sure the newsroom can pause or deactivate the tool promptly. Generated claims should be treated as unverified until checked.
Reporters Without Borders’ Paris Charter on AI and Journalism states: “Human decision-making must remain central to both longterm strategies and daily editorial choices.” ProPublica likewise says, “We treat AI-generated material as unverified source material.” Its policy also places responsibility for published work on staff, calls for verification and meaningful disclosure, and emphasizes protecting confidential material.
Decide when audiences should be told that AI significantly affected journalistic content. For recommendation or personalization systems, assess whether the system affects diversity of viewpoints and whether people can access editorial content without personalization.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Use a common scorecard to compare suppliers
Apply the same representative tasks and evidence standards to every candidate. Set weights according to the task and newsroom priorities; there is no universal weighting or vendor ranking established by the cited guidance. Record evidence, not just a supplier’s self-rating.
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Best Value
| Dimension | What to assess |
|---|---|
| Task performance | Accuracy, completeness, severity of errors, robustness and results on representative content. |
| Editorial fit | Whether staff can review and trace outputs, retain judgment, make appropriate disclosures and avoid harm to sourcing or audience experience. |
| Data and privacy | Data provenance, collection, retention, reuse, training, access, processing location, deletion and subprocessors. |
| Bias and fairness | Known limitations, testing across relevant subjects and groups, mitigation and evidence available to the newsroom. |
| Security and resilience | Suitability of controls for unpublished or sensitive reporting, incident response, continuity and recovery. |
| Transparency and explainability | Documentation of inputs, methods, limitations, outputs and system changes. |
| Operational burden | Integration, accessibility, staff training, support and verification time. |
| Contract and autonomy | Permitted use, audit rights, performance commitments, portability, exit support and dependencies on the vendor. |
| Total value | Cost compared with measured newsroom benefit and continuing review and mitigation work. |
For each dimension, note the evidence, unresolved questions, owner and decision. A high score on speed or cost should not erase a failure on a requirement the newsroom considers essential, such as protecting confidential reporting or retaining editorial control.
Contract for accountability and a workable exit
Convert pilot requirements into contract terms instead of relying on sales assurances. Review processing roles and permitted use, security controls, incident notification, audit access, accuracy and service measures, system-change notices, documentation, staff training and responsibility when outputs cause harm.
Define how the newsroom can export relevant records and move to another supplier. Ask whether data or outputs are stored in proprietary formats, what dependencies the service creates, what data will be returned or deleted at termination, and what transition support the vendor provides. UK procurement guidance recommends explainability and steps to reduce lock-in; the ICO recommends written allocation of processing duties, security provisions and deletion clauses.
Monitor the system after launch
Before deployment, establish who reviews performance, which metrics or incidents trigger escalation, how often the tool is reassessed and who can suspend it. Keep a register of tools, their purposes, data classes and accountable owners.
Repeat relevant accuracy and bias tests after significant vendor or model changes and when newsroom data or task conditions shift. The Center for News, Technology & Innovation’s February 17, 2026 briefing notes that newsroom policies often emphasize transparency, human supervision and verification without always translating those principles into practical controls or addressing subtle bias in third-party tools. Treat review as an ongoing responsibility, not a one-time procurement gate.
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