When a public incident is reported, different sources may describe different parts of what happened. Public posts, official statements, eyewitness accounts, and authorised camera footage can help investigators establish a timeline—but combining them creates serious accuracy, privacy, and governance risks.

A security camera overlooking an urban area
Fusion is useful only when the result remains verifiable: preserve provenance, flag disagreements, and apply privacy controls.

Start With a Narrow, Lawful Purpose

A responsible system should support verification of a specific incident, not continuously profile a population. Define who may request a search, which sources are authorised, the time and geographic scope, the retention period, and who approves access. Public availability of a post or camera feed does not automatically make every form of collection or reuse lawful.

Preserve Provenance Before Summarising

Store the source, capture time, collection method, original reference, and integrity hash for each evidence item. Keep the original artefact separate from any transcript, crop, model annotation, or generated summary. If sources disagree, retain the disagreement and show the uncertainty rather than forcing them into one confident narrative.

Separate Detection From Identification

Computer vision can help classify broad scene features or locate relevant time windows. It should not be used to identify private individuals, build face-search indexes, or infer guilt. Any use of identifiable footage requires a documented legal basis, strict authorisation, access logging, and independent oversight.

Use Human Review for Every Material Claim

An AI assistant may organise timestamps, group duplicate reports, and draft a timeline with links back to original sources. A qualified reviewer must verify each claim against the underlying evidence. Generated summaries must never replace the original recording or become the sole basis for an enforcement decision.

Apply Uganda's Data-Protection Requirements

Uganda's Data Protection and Privacy Act sets requirements for lawful and fair processing, data minimisation, quality, transparency, retention, and security safeguards. A real project would need legal review, a privacy impact assessment where appropriate, documented access roles, a complaint route, and clear rules for disclosure.

What a Pilot Must Prove

A limited pilot should measure source accuracy, false associations, reviewer disagreement, time to verify a claim, access-control failures, and privacy incidents. Publish its scope and limitations. Do not announce partnerships, camera coverage, or deployment milestones until they are formally authorised and independently verifiable.

The objective is not to make a system that can watch everything. It is to make a narrowly authorised verification process more transparent, auditable, and accountable.

Sources and further reading