Who Is Responsible When AI Gets Immigration Decisions Wrong in Ghana?

Imagine arriving at an airport with the documents you believe you need, only to be told that a computer has flagged your application. The officer cannot explain the concern clearly. You are asked to wait while your family, employer or host tries to understand what has happened. Somewhere in the process, a system has raised a warning, but nobody seems able to tell you how to resolve it.

Now imagine that the warning is wrong. Perhaps your name resembles someone else’s. Perhaps information from an old record has been attached to your file. Perhaps a document was read incorrectly. For the traveller, the immediate question is simple: who can correct the mistake?

That question should guide any discussion about artificial intelligence in Ghana’s immigration services. Before automated tools influence visa applications, residence permits or entry decisions, the institutions using them must establish who is answerable when something goes wrong. An applicant should never have to understand the workings of a computer programme to obtain a fair hearing.

There are sensible reasons to consider these tools. Immigration officials handle documents, enquiries and cases that demand both care and timely attention. Technology could help organise applications, identify missing information and draw attention to records that require closer examination. Used carefully, it could give officers more time to deal with complicated cases.

The difficulty begins when a tool’s recommendation acquires the authority of a final decision. A warning on a screen can appear convincing, especially when staff are busy or have been encouraged to trust the system. Yet an automated flag is a reason to investigate. It does not, by itself, establish that an applicant has supplied false information or should be refused permission.

An error in this setting can carry serious consequences. A student may miss the start of a course. A worker may be unable to take up an appointment. A family may face an unexpected separation. A business visitor may lose a meeting that took months to arrange. Even when a mistake is eventually corrected, the lost time and expense may remain.

The institution making the decision must therefore take responsibility for the tools it chooses to use. It cannot direct an applicant to a software company and treat its own role as finished. The applicant submitted documents to a public authority and is entitled to receive an answer from that authority.

Technology providers also have responsibilities. Their systems should be tested, their limitations disclosed, and faults investigated promptly. Contracts should make it possible for the institution to examine disputed results and obtain technical assistance. But these arrangements belong behind the scenes. They should support the public authority’s ability to correct an error without turning the applicant’s complaint into a dispute between organisations.

Human oversight must mean more than placing an officer’s name beneath an automated recommendation. The officer needs access to the relevant evidence, enough time to examine it, and the authority to disagree with the tool. If staff are expected to approve whatever the computer suggests, the presence of a person adds little protection.

Training is essential here. Officers should understand what a system can establish, what it merely predicts, and where it may fail. They should know how to recognise a doubtful match, check an inconsistent record and refer a case for further review. A person’s nationality, unfamiliar name or unusual travel history should not become a shortcut for suspicion.

Applicants also need clear explanations. A message stating that an application “failed automated screening” tells someone almost nothing. It leaves the person unable to identify an incorrect record, clarify a document or respond to a concern.

Where disclosure is appropriate, the explanation should identify the issue in ordinary language. Was a document unreadable? Did a date differ across records? Was information missing? Did the authority require additional evidence? These are questions an applicant can address. A technical score or unexplained label is much harder to challenge.

Some information may need protection for legitimate security reasons. Even then, confidentiality should not become a routine excuse for providing no meaningful explanation. The institution should distinguish between details that must remain restricted and information that can help the applicant respond. Independent reviewers should be able to examine relevant evidence when the applicant cannot.

An appeal process must also be accessible in practice. A right to request review offers little comfort if the instructions are difficult to find, the form is confusing, or no response arrives before the opportunity has passed.

Applicants should receive clear guidance on where to submit a complaint, what supporting information is needed and when they can expect an answer. There should be assistance for people who cannot comfortably use an online portal. Urgent cases should have a defined route for prompt attention, particularly where delay could cause substantial harm.

Review should involve a fresh examination by someone able to question the original decision. Sending the same information through the same tool and returning the same result does not resolve a dispute. The reviewer must consider the applicant’s explanation, check the underlying records and correct any error discovered.

Institutions should also learn from these cases. If several applicants report the same problem, treating each complaint as an isolated incident wastes an opportunity to prevent further harm. Records of disputed decisions, corrections and recurring faults can reveal where a tool or procedure needs improvement.

Public reporting could strengthen this accountability without exposing personal information. Useful measures would include how many complaints were received, how quickly they were resolved and how often decisions were changed after review. A system that processes applications quickly but repeatedly produces errors requiring lengthy correction cannot reasonably be called successful.

Ghana has an opportunity to set a clear standard before automated decision support becomes deeply embedded in immigration administration. Every consequential recommendation should be reviewable. Every disputed decision should have a responsible officer or unit. Every applicant should know how to seek correction.

The real test will come when someone stands at a counter and says, “This information about me is wrong.” A credible public service must be able to listen, investigate and act. Whatever technology sits behind the screen, responsibility must remain with people who can explain the decision and put a mistake right.