What happened
The Senate Standing Committee on Information, Communication, and Technology (ICT) in Kenya rejected the Artificial Intelligence Bill, 2026. The committee cited concerns that the bill's punitive provisions and regulatory requirements were too burdensome for the local tech ecosystem. The legislation, sponsored by Nominated Senator Karen Nyamu, proposed creating an Office of the AI Commissioner and an AI Authority to regulate AI systems, set technical standards, and operate regulatory sandboxes. The draft included administrative fines of up to KES 5 million or a percentage of annual turnover, as well as criminal liability and prison sentences of up to two years for infractions such as harmful, non-consensual deepfakes. The committee concluded that these strict licensing mandates and criminal exposures would discourage market participation and push local developers out of the market.
The Senate Standing Committee on Information, Communication, and Technology (ICT) in Kenya rejected the Artificial Intelligence Bill, 2026. The committee stated that the bill's punitive provisions and regulatory requirements were too burdensome for an ecosystem still finding its footing. The legislation was sponsored by Nominated Senator Karen Nyamu and proposed an ambitious administrative governance framework.
The core of the rejected bill was the creation of the Office of the AI Commissioner, which would have been empowered to register AI systems, conduct audits, assess compliance, and handle public complaints. The draft also envisioned an AI Authority to set technical standards and operate regulatory sandboxes for supervised product testing, along with an Advisory Committee to guide government policy on emerging risks.
The proposed enforcement mechanisms attracted sharp scrutiny. The draft bill introduced administrative fines of up to KES 5 million or a percentage of annual turnover, alongside criminal liability and prison sentences of up to two years for infractions such as harmful, non-consensual deepfakes. The Senate ICT Committee concluded that coupling strict licensing mandates with criminal exposure would actively discourage market participation, threatening to push local developers out of a market too young to absorb such high compliance costs.
The committee's assessment aligns with the reality of Kenya's AI ecosystem, which is built by lean startups adapting open-source models to tackle local challenges in agriculture, healthcare, micro-lending, and education. These startups operate on thin margins and have limited access to venture capital, making heavy compliance costs particularly onerous.
The rejected bill also sought to integrate devolved units into the national policy framework by directing the AI Commissioner to advise county governments on deploying automated technologies across local healthcare and agricultural services. It included Council of Governors representation on the Advisory Committee, acknowledging that counties are already deploying AI tools in service delivery without formal governance protocols.
Source details: vellum.co.ke ↗
Why it matters
The rejection leaves Kenya without a dedicated statutory framework for artificial intelligence, despite the country's growing AI ecosystem. While the Data Protection Act of 2019 provides foundational rules on automated decision-making, it does not address broader structural issues like , safety standards, or synthetic media. The committee's decision highlights the tension between establishing necessary public safeguards and avoiding regulatory burdens that could stifle innovation among lean startups operating on thin margins. This development reopens the national legislative debate on how to create an adaptive, co-regulatory framework that protects the public without treating local software developers as operational liabilities.
The rejection leaves the core problem unresolved: Kenya remains without a dedicated statutory framework for AI. While the Data Protection Act, 2019 offers foundational rules on automated decision-making and profiling, it was never designed to address broader structural issues, including , safety standards, public-sector AI deployments, or the proliferation of synthetic media.
The committee's stance reflects a verdict on the specific design of Senator Nyamu's draft rather than a dismissal of the need for oversight. The draft rightly highlighted gaps in existing legal instruments, including the Science, Technology and Innovation Act and the Data Protection Act.
The decision underscores the challenge of regulating a nascent AI market. Policymakers must draft an adaptive, co-regulatory framework that enforces meaningful public safeguards without treating local software developers as operational liabilities. This balance is critical for maintaining Kenya's position as a tech hub in East Africa.
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What to watch next
Policymakers will need to draft a revised AI framework that balances public safety with economic viability. Watch for new legislative proposals that may adopt a lighter-touch or co-regulatory approach, potentially focusing on specific high-risk applications rather than broad licensing mandates. The integration of county governments into , as proposed in the rejected bill, may also remain a focal point for future discussions on local service delivery.
The national legislative debate on AI regulation will reopen. Watch for new legislative proposals that may adopt a lighter-touch or co-regulatory approach, potentially focusing on specific high-risk applications rather than broad licensing mandates.
The integration of county governments into may remain a focal point. The rejected bill's proposal to advise county governments on deploying automated technologies across local healthcare and agricultural services highlights the need for formal governance protocols in local service delivery.
The outcome of future legislative efforts will determine whether Kenya can establish a regulatory environment that supports innovation while protecting the public from AI-related harms.