Compliance

What Ghana’s Data Protection Act asks of you before you deploy AI

Register as a data controller, protect health data, plan for breaches, and let people challenge automated decisions. A plain guide to Ghana's Act 843.

Last reviewed 15 October 2026. This is a plain-language summary by engineers, not legal advice. Check the Act itself, and take advice from a Ghanaian lawyer on your own situation.

If your organisation is about to put software into daily work that reads, sorts or scores information about people, Ghana’s Data Protection Act, 2012 (Act 843) already applies to you. It is enforced by the Data Protection Commission. It is also, in our experience, the part of a project that gets discovered late.

Here are the duties that most often matter. Section numbers are given so you can check them in the full text on GhaLII.

Is there an AI law in Ghana?

Not that we are aware of, as at the date above. Ghana adopted a National Artificial Intelligence Strategy for 2023 to 2033, which sets direction, but a strategy is not a statute. Compliance today means meeting the Data Protection Act and the rules of your own sector, and building so that stricter rules, when they come, do not strand you. Check the Commission’s website for current guidance, because this area is moving.

1. Register before you process (section 27)

A data controller who intends to process personal data must register with the Commission. An organisation that adds a new system to handle customer, patient or member information is, from that point, a controller with this duty, whether or not it has thought of itself that way.

The Commission publishes registration guidance and manuals at dataprotection.org.gh/registration. If you are not sure whether you are registered, find out first.

For your project: confirm registration, and that it covers the purpose the new system serves.

2. Special categories need more care (section 37)

The Act restricts the processing of what it calls special personal data, which includes information about a person’s health. There are listed conditions under which it is allowed, including for medical purposes, but the default is caution.

For your project: if the system touches health data, say so at the start. It affects where the data is stored, who can see it, what is logged and how it is described to the people concerned. Assistive designs, such as a suggestion for a clinician to accept or change, are much easier to defend than systems that decide.

3. Challenge to automated decisions (section 41)

This is the one most relevant to automation. Under the Act’s section on automated decision-taking, an individual can require that a decision which significantly affects them is not based solely on automated processing of their personal data. Where such a decision has been made, the person is to be told, and may within twenty-one days require that it be reconsidered.

Read that again from a product point of view. A claim declined, a benefit changed, a price set or access refused, all by software alone, is something the person can ask a human to look at again.

For your project: build the review route from the first version. A visible way to ask for reconsideration, a person with the authority to change the result, and an audit trail showing what was suggested and what was decided. In practice, this is also what keeps your own staff willing to use the system.

4. Breaches (section 31)

If there are reasonable grounds to believe personal data has been accessed by an unauthorised person, the Act requires notification. The Act sets out to whom and how quickly.

For your project: have a breach plan before you need it. Who decides, who calls the Commission, who tells affected people, who logs what happened. A new system is also a new place for things to go wrong.

5. The practical extras

The Act does not use the phrase “impact assessment”. But doing one before you launch a system that handles sensitive data is sound practice, and regulators elsewhere expect it. A short document that answers four questions will do:

  • What personal data does the system use, and why?
  • Who can see it, and how long is it kept?
  • What could go wrong for the people concerned, and what limits that?
  • How does a person get a decision looked at again?

Add to that: keep what you collect to what you need, tell people plainly how their information is used, and keep data inside an environment you control wherever the information is sensitive.

A short checklist

  • We are registered with the Data Protection Commission, for this purpose.
  • We know if the system touches health or other special personal data.
  • Decisions that affect a person can be reviewed by a human, and the person can ask.
  • An audit trail records what was suggested and who decided.
  • We have a breach plan with named people.
  • We wrote down, in one page, what data is used and why.

How we help, and where we stop

When we deploy a system, the review route, the audit trail and the one-page assessment are part of what we deliver. We also tell you which of these apply to you. We are engineers, not your lawyers. When a question needs counsel, such as what a contract should say or how a particular sector rule reads, we say so and work with your adviser.

If you would like help working out where you stand, a readiness sprint includes a compliance checklist for your sector and data.

Sources

Related sector: Healthcare

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