The Friday Governance BriefEdition No. 5 · In Brief
Edition in Brief
Government technology: oversight, computing and integrity
The Machinery of Public Control
Five recent publications examine how governments oversee artificial intelligence (AI), sustain computing services and enforce integrity, with lessons for Kenya, the Global South and the wider world.
Five readings, one public responsibility
The publications in focus were published between 17 September and 1 October 2026. None featured in an earlier edition.
Government AI
Across 60 economies, adoption is advancing faster than the institutions around it.
Across the five readings, control has several layers. Government must know what it has deployed; record the authority and consequences of each use; possess the staff and infrastructure to intervene; and maintain integrity arrangements capable of reaching the place where decisions are made. Each layer is necessary, and none is established by a strategy document alone.
The sources differ in method and reach. A self-reported survey, a research preprint, Dutch discourse analysis, six African implementation experiences and a country integrity review illuminate related questions without establishing a single universal model.
For policy work
Three questions worth carrying forward
Where is the public inventory?
Can a responsible public body identify each consequential AI use, its legal authority, supplier, data, risk assessment and route of appeal across national and devolved services?
Who can change the system?
When evidence of error or exclusion emerges, which official has the technical access, contractual power and administrative authority to pause, repair or withdraw it?
What survives the launch?
Are the people, budgets and institutional mandates in place to operate infrastructure, refresh safeguards and enforce integrity rules after initial attention has moved elsewhere?
Public control is demonstrated in the ordinary ability to see a system, interrogate its effects and alter its course. The week’s research makes that capacity a more demanding measure of governance than adoption, disclosure or ownership taken separately.
