Kenya - Media Data Governance Guide

Data Governance Guide for Media Practice in Kenya (Media Council of Kenya draft)

Kenya

RAI-KE-NA-DGGMPXX-2025
Draft(Being written or scoped)As published at mediacouncil.or.ke · checked 8 Sep 2026

Kenya - Media Data Governance Guide is Draft in Kenya as of 8 Sep 2026, according to mediacouncil.or.ke.

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The Media Council of Kenya's draft Data Governance Guide for Media Practice in Kenya guides journalists, editors, and media houses on ethical data handling and AI risk management. Published for public comment on January 20, 2025, the instrument remains in Draft status and sets out governance standards under the Data Protection Act.

Summary

The Media Council of Kenya's "Data Governance Guide for Media Practice in Kenya" is a draft framework produced by an MCK technical committee and published for public comment in January 2025. The guide complements MCK's broader initiative to produce media-focused guidelines on AI, data, social media and reporting on emerging technologies. It is designed to advise journalists, editors, media houses, and media-adjacent digital platforms on building governance structures and operational practices for the ethical collection, processing, storage, analysis and publication of data in journalistic work.

The draft emphasises the interplay between journalistic freedom and data protection obligations under the Data Protection Act (2019) and attendant regulations, highlighting duties such as lawful basis for processing, data minimisation, purpose limitation, accuracy, retention limits, security safeguards and respect for data subject rights. It recommends that media organisations implement internal governance mechanisms including appointed data protection focal points (or officers where mandated), data inventories, standard operating procedures for data handling and breach response, impact assessment processes for new data-driven tools (including AI), and continuous staff training.

Key components of the guide cover risk-based assessments and pre-publication checks for high-risk processing; transparency measures such as clearer disclosures to audiences about methods, use of automated tools and data sources; contractual clauses and vetting of third-party data processors; guidance on anonymisation and aggregation in data-driven reporting; archiving and retention policies; and advice on balancing the public interest against individual privacy in investigative reporting. The draft stresses accountability through documentation (logs, impact assessments, editorial sign-offs), audit trails and internal/external oversight mechanisms.

The guide situates media-specific data governance within Kenya's evolving national data ecosystem, referencing the Office of the Data Protection Commissioner (ODPC) and the Data Protection Act 2019 as the legal baseline. It also aligns with international best practice and multi-stakeholder norms on platform governance, freedom of expression, and ethical AI, recommending that media organisations adopt risk management and safety testing for algorithmic systems used for content selection, verification and audience measurement. The document was opened to stakeholder comment with a specified submission deadline (January 26, 2025) and is intended as a practical, implementable tool rather than a substitute for statutory requirements. It anticipates collaboration between MCK, ODPC, regulators and civil society on training, certification of trainers, and periodic review to reflect technological and legal change.

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Overview

The Media Council of Kenya (MCK) has produced a draft "Data Governance Guide for Media Practice in Kenya" as part of a suite of media-focused documents on AI, data and social media. The draft was prepared by an MCK technical committee and released for public comment in January 2025 to provide sector-tailored guidance on responsible handling of personal and non-personal data in journalistic practice, and on the ethical application of automated tools. The guide is explicitly designed to help newsrooms align editorial decision-making with legal obligations under the Data Protection Act, 2019 and related regulations while safeguarding press freedoms and public interest journalism. It combines operational measures (data inventories, retention schedules, breach reporting) with higher-level governance (oversight, roles and responsibilities) and provides sector-specific examples to support implementation by small and large media houses alike.

Definitions

The draft establishes working definitions tailored to media practice: "personal data" and "special categories" as per the Data Protection Act; "data processing" to include collection, storage, analysis and publication for reporting; "data controller" (typically the media house or publisher determining purposes) and "data processor" (third-party vendors and cloud providers used by media); "anonymisation" and "pseudonymisation" as risk-mitigation techniques; and "automated decision making" referencing algorithmic tools used in verification, content recommendation or audience analytics.

Governance and Institutional Framework

The guide recommends a governance model combining editorial oversight with a formal data governance function. It advises appointing a data focal person or Data Protection Officer where organisational scale requires, establishing a governance committee that includes editorial, legal and technical representation, and maintaining documented policies for data retention, access control and breach response. The draft positions the MCK as a convening authority for standards and training while recognising statutory enforcement by the Office of the Data Protection Commissioner (ODPC). It also recommends formal memoranda of understanding with technical vendors and templates for processor contracts to ensure alignment with the Data Protection Act, 2019 and associated regulations.

Key Focus Areas

The draft concentrates on several core domains: (1) Legal compliance and editorial decision-making: assessing legitimate interests and public interest exceptions when handling sensitive information; (2) Data lifecycle management: inventorying datasets, purpose limitation, retention and secure disposal; (3) Technical and organisational security: encryption, access controls, secure transfer and vendor governance; (4) Algorithmic systems and AI: requirement for safety testing, documentation of model inputs/outputs, and human oversight for automated verification or recommendation tools; (5) Transparency and audience engagement: disclosure of methods, data sources and use of automation; (6) Data subject rights: mechanisms to respond to correction, deletion and objections; and (7) Capacity-building: training, accredited trainers and community of practice for media professionals. Practical annexes include editorial checklists, breach-notification flowcharts and sample consent and data-sharing text for sourcing material.

Implementation Framework

The guide proposes a phased approach: initial gap analysis and data inventory; short-term fixes (policies, basic security, incident response); medium-term measures (DPIAs, contractual updates, staff training); and long-term embedding (audits, certified processes, periodic review). It emphasises proportionate measures for smaller outlets and prescribes scaled governance commensurate with processing risk. The draft encourages collaboration with the ODPC for technical guidance and cross-sector standards and suggests that MCK develop accredited training modules and a register of certified data and AI trainers to support roll-out.

Monitoring and Evaluation

MCK's draft sets out monitoring mechanisms including regular internal audits, publication of transparency reports, and submission of anonymised compliance summaries to MCK for peer benchmarking. It suggests indicators such as number of DPIAs completed, incidents reported and time to resolve data subject requests. Where appropriate the guide recommends independent assessments or external audits for high-risk processing and proposes an MCK-led peer review mechanism to foster continuous improvement.

Penalties, Liability, and Appeals

As a non-statutory sector guide, MCK's draft itself does not create criminal sanctions but makes clear that non-compliant conduct may attract enforcement under the Data Protection Act, 2019 and other laws. The guide outlines disciplinary and editorial remedies a media house may use for breaches of internal policy and recommends escalation paths to the ODPC where statutory breaches occur. It also explains rights of appeal and remedies for data subjects under existing legislation and encourages media houses to maintain insurance and legal support for potential liability arising from data handling and publication.

Relationship to Other Instruments

The draft situates itself alongside the Data Protection Act and regulations, the Kenyan Constitution's protections for freedom of expression and access to information, sectoral laws such as the Kenya Information and Communications Act, and national digital strategies. It recommends cross-references to national AI strategy and to international standards and guidance (for example those developed by UNESCO and international press freedom bodies) to ensure media practice remains consistent with broader policy frameworks.

International Alignment

The guide references international norms for data protection and ethical AI and proposes alignment with widely accepted principles like transparency, human oversight and non-discrimination. It highlights Kenya's participation in regional and global fora and suggests adoption of comparative practices (e.g., risk assessments, impact assessments and documentation) used in other jurisdictions to facilitate cross-border data sharing for investigative journalism while protecting rights.

Implementation Timeline

PhaseActionsIndicative timeframe
Phase 1Publication of draft; public consultation; gap analysis by media housesJan - Mar 2025
Phase 2Policy adoption, basic training, appointment of focal personsApr - Sep 2025
Phase 3Conduct DPIAs, vendor contract updates, implement monitoringOct 2025 - Mar 2026
Phase 4External audit, peer review, revisions to guideApr - Dec 2026

Sources and References

SourceType
CALL FOR COMMENTS ON DATA GOVERNANCE GUIDELINES FOR MEDIA PRACTICE IN KENYA (Media Council of Kenya)Primary Source
MCK Receives AI Taskforce Reports (Media Council of Kenya)Primary Source
Data Protection Act, 2019 (Kenya Law)Primary Source
Office of the Data Protection Commissioner (ODPC)Primary Source

Requirements for a company

What an organisation has to do under Kenya - Media Data Governance Guide, at a glance. Not legal advice — the table below gives the provision and deadline for each item.

Not yet in force (Draft). These requirements apply once the instrument takes effect and may change before then.

Must do

0

Nothing in this category.

Must not do

0

Nothing in this category.

Should do

7
  • Conduct safety testing on algorithmic systems and automated tools prior to deployment in editorial or verification processes.Media organisations in Kenya using AI tools
  • Maintain documentation of AI model inputs and outputs for automated content verification or recommendation tools.Media organisations in Kenya using AI tools
  • Ensure human oversight over automated decision-making, verification, content recommendation, and audience analytics tools.Media organisations in Kenya using automated tools
  • Disclose data sources, investigative methods, and the use of automation to audiences transparently.Media organisations in Kenya
  • Appoint a data focal person or Data Protection Officer appropriate to the organisation's scale.Media organisations in Kenya
  • Execute formal contracts and agreements with technical vendors and cloud service providers handling personal data.Media organisations in Kenya using third-party vendors
  • +1 more in the table below

Should not do

1
  • Do not rely on automated decision-making for editorial verification without human oversight.Media organisations in Kenya using automated tools

Who must do what

The obligations under Kenya - Media Data Governance Guide, most serious first. Not legal advice — verify against the official text before relying on it.

#WhoRequirementBy whenWhereSeverity
1Media organisations in Kenya using AI toolsConduct safety testing on algorithmic systems and automated tools prior to deployment in editorial or verification processes.
“requirement for safety testing, documentation of model inputs/outputs, and human oversight for automated verification or recommendation tools”
—Key Focus AreasRecommended
2Media organisations in Kenya using AI toolsMaintain documentation of AI model inputs and outputs for automated content verification or recommendation tools.
“requirement for safety testing, documentation of model inputs/outputs, and human oversight for automated verification or recommendation tools”
—Key Focus AreasRecommended
3Media organisations in Kenya using automated toolsEnsure human oversight over automated decision-making, verification, content recommendation, and audience analytics tools.
“requirement for safety testing, documentation of model inputs/outputs, and human oversight for automated verification or recommendation tools”
—Key Focus AreasRecommended
4Media organisations in KenyaDisclose data sources, investigative methods, and the use of automation to audiences transparently.
“disclosure of methods, data sources and use of automation”
—Key Focus AreasRecommended
5Media organisations in KenyaAppoint a data focal person or Data Protection Officer appropriate to the organisation's scale.
“appointing a data focal person or Data Protection Officer where organisational scale requires”
Apr - Sep 2025Governance and Institutional FrameworkRecommended
6Media organisations in Kenya using third-party vendorsExecute formal contracts and agreements with technical vendors and cloud service providers handling personal data.
“templates for processor contracts to ensure alignment with the Data Protection Act, 2019 and associated regulations”
Oct 2025 - Mar 2026Governance and Institutional FrameworkRecommended
7Media organisations in Kenya conducting high-risk processingConduct Data Protection Impact Assessments for high-risk automated processing operations.
“Conduct DPIAs, vendor contract updates, implement monitoring”
Oct 2025 - Mar 2026Implementation TimelineRecommended
8Media organisations in Kenya using automated toolsDo not rely on automated decision-making for editorial verification without human oversight.
“requirement for safety testing, documentation of model inputs/outputs, and human oversight for automated verification or recommendation tools”
—Key Focus AreasRecommended

© Regulations.AI · updated on 20 Sep 2026 · reviewed against official sources on 8 Sep 2026 using Gemini 3.6 Flash