RESPONSIBLE AI

AI may find a pattern. It may not make the accusation.

NewsForensics uses automation to support evidence work while keeping consequential judgments with accountable people.

01

Assistive use

Models may help match repeated claims, group sources, translate variations, identify anomalies and summarise evidence. Outputs are labelled as indicators and should be traceable to reviewable records.

02

Human decision gate

No machine-generated signal may automatically publish a verdict, allege intent or guilt, or send a high-risk external response. Authorised review and explicit approval are required.

03

Uncertainty and correction

Assessments should disclose material uncertainty, competing evidence and scope limits. New evidence may change a conclusion; the prior conclusion and reason for revision remain visible.

04

Testing and oversight

Risk controls, false-positive patterns, source quality, access logs and reviewer decisions should be tested and audited. High-impact workflows may be paused when evidence or controls are insufficient.

05

No prohibited profiling

The platform must not infer sensitive traits for targeting, surveillance or discriminatory decisions and must not generate fabricated evidence or deceptive personas.