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Artificial intelligence is moving quickly from experimentation to practical use across businesses, government institutions and financial services.

That creates a second challenge alongside adopting AI: how should organisations govern it?

On 28 September 2026, Kenya and Uganda discussed closer cooperation on AI governance during a visit by Uganda’s parliamentary ICT committee to Nairobi. The discussions covered responsible AI use, policy, regulation, privacy, cybersecurity and public trust.

The development is part of a wider shift across Africa towards building frameworks for responsible artificial intelligence.

Kenya’s AI policy environment is evolving

Kenya launched its National AI Strategy 2025–2030 in March 2025.

The strategy focuses on areas including infrastructure, data and governance, research, innovation and commercialisation.

Kenya has also been developing a Draft Artificial Intelligence and Other Emerging Technologies Policy. The Ministry of Information, Communications and the Digital Economy describes the draft as a framework for responsible governance, development, deployment and use of AI, including objectives around innovation, human capital, public trust and economic resilience.

For organisations, this means AI adoption cannot simply be treated as an IT project.

What exactly is AI governance?

AI governance refers to the systems, rules and processes organisations use to manage how artificial intelligence is developed, purchased, deployed and monitored.

A company introducing AI into customer service, recruitment, credit assessment or document processing may need to consider questions such as:

What data is being used?

Who is responsible for the AI-assisted decision?

Can the organisation explain the output?

What happens when the system makes an error?

How is confidential information protected?

These questions become especially important in sectors such as banking, insurance, healthcare and public services.

Uganda is also building its AI governance capacity

Uganda has been conducting its own AI readiness work with UNESCO.

A May 2026 national consultation brought together government, academia, civil society, the private sector and development partners to examine Uganda’s preparedness to adopt and govern AI responsibly.

Uganda has also called for developing countries to have a meaningful role in shaping global AI governance.

The Kenya-Uganda discussions therefore fit into a broader regional and international conversation.

Why businesses should care about AI governance

Responsible AI is not only a regulatory question.

It can become an operational and commercial issue.

An organisation that introduces AI without clear controls may face problems involving inaccurate outputs, confidential information, biased decisions, cybersecurity exposure or employee misuse of AI tools.

On the other hand, organisations with clear internal AI policies can create a more structured environment for experimentation and deployment.

This makes AI literacy increasingly important for managers and employees—not just software developers.

The next AI skills gap may be organisational

The first wave of AI adoption focused heavily on learning how to use AI tools.

The next stage is likely to involve a broader question:

How do organisations redesign work around AI while maintaining accountability?

That requires skills in AI tools, digital literacy, data protection, workflow design, cybersecurity, governance and change management.

For Kenyan organisations, this creates opportunities for professional training that goes beyond basic prompting.

BTI College is developing training around AI and digital literacy alongside professional development programmes designed for organisations and working professionals.

Learn more about BTI training at bti.ac.ke.