Responsible AI / Updated 16 October 2026
The Responsible AI Checklist Every Professional Should Use
Responsible use is a practical habit: ask what the system knows, what it might miss and who could be affected by the output.
Accuracy and evidence
Check consequential claims. Ask for sources where appropriate, then inspect those sources instead of trusting a citation by appearance.
Privacy and security
Minimise the information you share. Consider whether a task can be completed with anonymised or synthetic context.
Impact and accountability
If an output affects another person, keep a human decision-maker involved and make the basis for the decision understandable.
Practical checklist
- Check the source of important claims
- Remove unnecessary personal data
- Consider who bears the risk
- Keep a human accountable
This editorial is an Africa Money AI perspective, not professional, legal or technical advice. Keep checking current guidance and local requirements for high-stakes decisions.