Country Profile on AI Governance: Cameroon

Mean of all 10 indicator scores. Central Africa mean 1.40 · all 54 states mean 1.76.

1. S1.1

   National AI strategy existence

   Score 3 / 4

   SNIA was formally adopted on July 7 2025, and unveiled at CONIA 2025 by Minister of Posts and Telecommunications Minette Libom Li Likeng

   Note: Adopted but implementing institutions (AI Authority, Presidential Council) still being established

   Sources oecd.ai (opens in a new tab)

2. S1.2

   Strategy adoption date

   Score 1 / 4

   July 2025

   Note: at CONIA 2025 closing

   Scoring basis Threshold applied. Adopted 2025-07: 11 months before 2026-06-30.

   Sources techafricanews.com (opens in a new tab)

3. S1.3

   Political commitment signals

   Score 3 / 4

   Ministerial launch by Minister of Posts & Telecom; CONIA 2025 convened 400+ stakeholders; IMF AI Preparedness score 0.34/1 cited as motivation

   Note: Presidential-level decree not yet confirmed; ministerial statements are formal institutional actions

   Sources cameroononline.org (opens in a new tab)

4. S1.4

   Dedicated AI budget allocation

   Score 1 / 4

   World Bank-funded PATNUC supports agritech innovation (up to CFA40M per startup); no confirmed ring-fenced national AI budget line

   Note: AI investment largely embedded within ICT/telecom ministry budget

   Sources businessincameroon.com (opens in a new tab)

5. S1.5

   AU Continental AI Strategy alignment

   Score 2 / 4

   SNIA explicitly references AU Agenda 2063 and plans GPAI/AU AI Technical Committee engagement

   Note: Formal alignment process documented; full alignment not yet verified through AU reporting

   Sources oecd.ai (opens in a new tab)

6. S1.6

   Multi-stakeholder consultation

   Score 3 / 4

   CONIA 2025 (2nd edition) brought together 400+ participants: public administration, universities, incubators, private sector, international orgs

   Note: Civil society participation documented; ongoing permanent mechanism not yet institutionalised

   Sources theguardianpostcameroon.com (opens in a new tab)

7. S1.7

   Sector prioritisation

   Score 3 / 4

   SNIA identifies health, agriculture, education, justice, and public services as priority sectors

   Note: Sector roadmaps not yet individually published; targets at strategy level only

   Sources businessincameroon.com (opens in a new tab)

8. S1.8

   Implementation roadmap

   Score 2 / 4

   2040 vision with phased targets: 4,000 trained/year, 5 centres of excellence, 12 sovereign AI solutions

   Note: Phased plan exists in SNIA; detailed annual milestones with accountability not yet published

   Sources nkafu.org (opens in a new tab)

9. S1.9

   Monitoring and evaluation framework

   Score 1 / 4

   No standalone M&E published; SNIA mentions Presidential AI Council as oversight body but not yet operational

   Note: Planned under governance pillar; no active reporting cycle confirmed

   Sources techafricanews.com (opens in a new tab)

10. S1.10

    Strategy review mechanism

    Score 1 / 4

    Governance pillar references Presidential Council on AI for strategy oversight; no gazetted review schedule

    Note: Review mechanism implied by institutional design; no formal schedule

    Sources oecd.ai (opens in a new tab)

Mean of all 10 indicator scores. Central Africa mean 1.31 · all 54 states mean 1.32.

1. G2.1

   AI-specific legislation

   Score 1 / 4

   No AI-specific law enacted; SNIA calls for a framework AI law; cybersecurity law (Law No. 2010/012) exists

   Note: AI legislation flagged as next step under SNIA governance pillar; under discussion stage

   Sources researchgate.net (opens in a new tab)

2. G2.2

   Data protection law status

   Score 3 / 4

   Law No. 2024/017 of 23 December 2024 enacted; 18-month compliance transition ending June 2026; 38th African country

   Note: Law enacted; ADCP supervisory authority mandated but not yet confirmed as fully staffed

   Sources pollicy.medium.com (opens in a new tab)

3. G2.3

   DPA AI mandate

   Score 2 / 4

   Law 2024/017 establishes ADCP with mandate to regulate data processing including automated decisions

   Note: DPA structurally exists; AI-specific mandate not explicit; ANTIC retains ICT/cybersecurity oversight

   Sources africanlawbusiness.com (opens in a new tab)

4. G2.4

   DPA staffing and budget

   Score 0 / 4

   ADCP not yet publicly confirmed as operationally staffed; no published budget data

   Note: 18-month transition still active; critical capacity gap

   Scoring basis Fellow score kept; no raw value for the threshold.

5. G2.5

   AI regulatory body existence

   Score 1 / 4

   SNIA proposes a 'Cameroonian AI Authority' (AIRA) and a Presidential AI Council; neither gazetted as of June 2026

   Note: Proposed; not yet enacted

   Sources iafrica.com (opens in a new tab)

6. G2.6

   Institutional design model

   Score 1 / 4

   Proposed: new dedicated AI body (AIRA) with risk-tiered approach aligned to EU AI Act; not yet enacted

   Note: Design in policy literature; no official gazette

   Sources researchgate.net (opens in a new tab)

7. G2.7

   Malabo Convention ratification

   Score 1 / 4

   Cameroon signed but has not ratified the AU Malabo Convention

   Note: Signed = nascent; ratification absent despite domestic data law enactment

   Sources dataprotection.africa (opens in a new tab)

8. G2.8

   Enforcement actions taken

   Score 1 / 4

   ART sanctioned telecom operators in 2019 for subscriber ID failures; no AI-specific enforcement documented

   Note: Pre-data law enforcement only; no post-2024 AI enforcement confirmed

   Sources lexafrica.com (opens in a new tab)

9. G2.9

   Extraterritorial provisions

   Score 1 / 4

   Law 2024/017 explicitly excludes data controllers outside Cameroon processing Cameroonian data

   Note: Significant gap vs GDPR model

   Sources techhiveadvisory.africa (opens in a new tab)

10. G2.10

    IP framework for AI

    Score 0 / 4

    No IP legislation review for AI-generated content identified

    Note: Likely embedded in broader digital economy agenda

Mean of the 9 scored indicators; 1 carries no score. Central Africa mean 1.20 · all 54 states mean 1.51.

No score: 1 context only.

1. I3.1

   Data center count

   Score 2 / 4

   ST Digital Tier 3 data centre in Douala confirmed (ministerial visit July 2025); at least 1–3 commercial facilities

   Note: Exact national count not published; ST Digital identified as strategic government partner

   Scoring basis Threshold applied. Raw value: 2 (data centres).

   Sources businessincameroon.com (opens in a new tab)

2. I3.2

   Data center capacity (MW)

   Score 0 / 4

   No published MW figures for Cameroonian data centers found

   Note: ST Digital Tier 3 capacity not publicly disclosed

   Scoring basis Fellow score kept; no raw value for the threshold.

3. I3.3

   Submarine cable landing points

   Score 3 / 4

   SAT-3/WASC and WACS cables confirmed landing in Douala; at least 2 international submarine cable connections

   Note: 2–3 submarine cable landing points confirmed

   Scoring basis Threshold applied. 5 cable systems (TeleGeography, accessed 2026-10-06).

   Sources en.wikipedia.org (opens in a new tab)

4. I3.4

   International bandwidth (Gbps)

   Score 1 / 4

   42% internet penetration 2024–25 (Nkafu Institute); 88% population covered by 2G+ (ITU 2025)

   Note: Bandwidth not publicly aggregated; improving but significant rural gaps

   Scoring basis Fellow score kept; no raw value for the threshold.

   Sources businessbeat24.com (opens in a new tab)

5. I3.5

   Hyperscaler presence

   Score 1 / 4

   No confirmed AWS, Azure, or Google Cloud local infrastructure in Cameroon; ST Digital offers sovereign cloud

   Note: No global hyperscaler confirmed locally present

   Sources businessincameroon.com (opens in a new tab)

6. I3.6

   GPU/HPC access

   Score 1 / 4

   No national HPC/GPU facility; SNIA proposes solar-powered edge computing; Sazience Academy uses cloud-based ML tools

   Note: Academic-only access; no commercial GPU facility confirmed

   Sources edtechinnovationhub.com (opens in a new tab)

7. I3.7

   Data localisation provisions

   Score 2 / 4

   Law 2024/017 includes cross-border transfer conditions; no comprehensive localisation mandate

   Note: Partial framework; sectoral only at this stage

   Sources techhiveadvisory.africa (opens in a new tab)

8. I3.8

   Cross-border data flow framework

   Score 2 / 4

   Law 2024/017 includes transfer conditions (consent, adequacy, contractual safeguards); no bilateral adequacy agreements

   Note: General legal framework; ECCAS-level regional framework not yet operational

   Sources pollicy.medium.com (opens in a new tab)

9. I3.9

   Foreign AI surveillance spending

   ○Context only: Context flag outside the score

   No publicly documented government spending on foreign AI surveillance systems; CIPESA 2025 flags risk

   Note: Data not publicly available; risk flagged by civil society

   Scoring basis Context flag; outside the score. Raw value read from the evidence: "Data not publicly available; risk flagged by civil society" [evidence also says no documented spending].

   Sources cipesa.org (opens in a new tab)

10. I3.10

    Sovereign cloud initiatives

    Score 2 / 4

    ST Digital identified as strategic sovereign cloud partner; SNIA calls for government Data Lake and national data sovereignty

    Note: Under development; sovereign cloud partner identified but national infrastructure not fully operational

    Sources businessincameroon.com (opens in a new tab)

Mean of all 10 indicator scores. Central Africa mean 0.69 · all 54 states mean 1.20.

1. H4.1

   AI researchers per million

   Score 1 / 4

   IMF AI Preparedness Index scores Cameroon 0.34/1, noting 'promising human capital'; no official per-million count

   Note: Small researcher base at Universities of Yaoundé I, Douala, and Buea; no national registry

   Scoring basis Fellow score kept; no raw value for the threshold.

   Sources cameroononline.org (opens in a new tab)

2. H4.2

   DPA staff with AI competency

   Score 0 / 4

   ADCP not yet confirmed as operationally staffed; no AI-specific staff competency data

   Note: Critical gap for enforcement capacity

   Scoring basis Fellow score kept; no raw value for the threshold.

3. H4.3

   University AI programs

   Score 2 / 4

   Universities of Yaoundé I, Douala, and Buea have CS/IT depts; Sazience Academy (WorldQuant) launched 2025; Yaounde Innovation City hosts AI/robotics firms

   Note: Formal AI-specific MSc-level programmes rare; AI embedded within CS curricula

   Scoring basis Fellow score kept; no raw value for the threshold.

   Sources edtechinnovationhub.com (opens in a new tab)

4. H4.4

   African-authored AI publications

   Score 2 / 4

   Active academic AI research documented (e.g., ML for TB diagnosis at Yaoundé Jamot Hospital); kmer-ai.org platform active

   Note: Annual count not officially published; small but growing output

   Scoring basis Threshold applied. 90.7 papers/yr ÷ 29.12m people = 3.11 per million (floors applied).

   Sources medrxiv.org (opens in a new tab)

5. H4.5

   AI patents filed

   Score 0 / 4

   No documented AI patent filings from Cameroon found

   Note: OAPI (African IP Org) has Yaoundé office but no AI patent statistics found

   Scoring basis Threshold applied. Raw value: 0 (AI patent applications/year). Raw value read from the evidence: "No documented AI patent filings from Cameroon found". Checked against the evidence on 7 October 2026: confirmed.

6. H4.6

   K-12 CS education

   Score 1 / 4

   No confirmed mandatory K-12 CS/AI curriculum; SNIA calls for integration of digital literacy from primary level

   Note: Pilot stage at best; reform called for in SNIA

   Sources nkafu.org (opens in a new tab)

7. H4.7

   AI workforce training programs

   Score 2 / 4

   SNIA targets 60,000 trained (40% women) by 2040; PATNUC agritech challenge; government-supported competitions active

   Note: Programmes active but not yet at scale; mostly competition/incubation model

   Sources businessincameroon.com (opens in a new tab)

8. H4.8

   Labour transition policy

   Score 1 / 4

   SNIA references labour market impact; Nkafu Policy Institute published assessment (Jan 2026); no formal government policy

   Note: Under discussion; academic/think-tank level only

   Sources nkafu.org (opens in a new tab)

9. H4.9

   Informal economy AI assessment

   Score 1 / 4

   Nkafu Policy Institute (Jan 2026) assessed AI-workforce implications including informal sector

   Note: Think-tank assessment; not government-published with recommendations

   Sources nkafu.org (opens in a new tab)

10. H4.10

    African language NLP coverage

    Score 3 / 4

    SNIA includes multilingual AI pillar targeting sovereign LLM 'GPT Cameroon'; Cameroon has ~280 languages; Fulfulde, Bamiléké, Ewondo have some NLP research

    Note: GPT Cameroon in planning; existing NLP tools for 2–4 languages; significant gap to close

    Scoring basis Threshold applied. Raw value: 1 of 2 (languages supported / major languages), normalised 50. 50% of major domestic languages. Raw value read from the evidence: "Fulfulde, Bamiléké, Ewondo have some NLP research" [only Fulfulde is on the major-language list; notes say NLP tools for 2–4 (unnamed) languages; denominator (. Listed for second-edition review: The score of 3 rests on one language, Fulfulde, which the evidence describes as having some NLP research. Coverage in the reference lists is not shown.

    Sources iafrica.com (opens in a new tab)

Mean of all 10 indicator scores. Central Africa mean 0.67 · all 54 states mean 1.05.

1. N5.1

   AI companies count

   Score 2 / 4

   30–50+ tech/AI-adjacent startups in Douala and Yaoundé; >$22.1M raised in Douala by mid-2025 across 16 deals; kmer-ai.org lists Cameroon AI innovators

   Note: No official AI company registry; estimate 20–50 firms with AI components

   Scoring basis Threshold applied. Raw value: 35 (companies).

   Sources femaleswitch.com (opens in a new tab)

2. N5.2

   Private AI investment (USD)

   Score 2 / 4

   >$22.1M raised in Douala tech ecosystem by mid-2025; government tax exemptions (5 years) for agritech/fintech/cleantech startups

   Note: AI-specific investment share not disaggregated from total tech investment

   Scoring basis Fellow score kept; no raw value for the threshold.

   Sources femaleswitch.com (opens in a new tab)

3. N5.3

   AI incubators/accelerators

   Score 0 / 4

   ActivSpaces (Buea/Silicon Mountain), Cameroon Tech Hub (Yaoundé), Activate (Douala), Seedstars Douala, Yaounde Innovation City (AI/robotics)

   Note: 4–6 incubators with AI-adjacent focus; dedicated pure-AI accelerators not confirmed

   Scoring basis Threshold applied. Raw value: 0 (incubators/accelerators). Raw value read from the evidence: "dedicated pure-AI accelerators not confirmed" [4–6 AI-adjacent general hubs excluded]. Checked against the evidence on 7 October 2026: confirmed.

   Sources cameroon-marketplace.com (opens in a new tab)

4. N5.4

   Regulatory sandbox (AI)

   Score 0 / 4

   No AI-specific regulatory sandbox identified

   Note: SNIA mentions accelerators; formal sandbox not established

5. N5.5

   Government AI procurement

   Score 1 / 4

   Government identified ST Digital as strategic partner; PATNUC awards up to CFA40M per digital solution

   Note: Ad hoc procurement; no formal domestic AI procurement preference policy

   Sources businessincameroon.com (opens in a new tab)

6. N5.6

   AI safety evaluation capacity

   Score 0 / 4

   No AI safety testing facility or accredited evaluation lab found; ANTIC has ICT security oversight but no AI safety mandate

   Note: Critical gap; SNIA governance pillar may eventually address

7. N5.7

   ISO/IEC 42001 adoption

   Score 0 / 4

   No evidence of ISO/IEC 42001 adoption in Cameroon; ANOR has no confirmed AI technical committee

   Note: ANOR exists; AI-specific committee not confirmed

8. N5.8

   Standards body AI competency

   Score 1 / 4

   ANOR (Agence des Normes et de la Qualité) exists; no confirmed AI-specific technical committee

   Note: Nascent awareness only

9. N5.9

   AI risk assessment frameworks

   Score 0 / 4

   No sector-specific or cross-sector AI risk framework; Law 2024/017 requires DPIAs which partially address automated decision risks

   Note: DPIA requirement is a partial proxy; dedicated AI risk framework absent

   Sources pollicy.medium.com (opens in a new tab)

10. N5.10

    University-industry AI partnerships

    Score 2 / 4

    Sazience Academy (WorldQuant Univ + Sazience Tech) formal MoU; MIT African Graduate Association hackathon; Yaounde Innovation City

    Note: Formal MoUs emerging; joint labs not confirmed at major public universities

    Sources edtechinnovationhub.com (opens in a new tab)

Mean of all 10 indicator scores. Central Africa mean 1.16 · all 54 states mean 1.26.

1. E6.1

   Algorithmic impact assessment

   Score 1 / 4

   Law 2024/017 mandates DPIAs for high-risk processing; no standalone AIA requirement

   Note: DPIA is a precursor; no explicit AIA requirement

   Sources africanlawbusiness.com (opens in a new tab)

2. E6.2

   Bias audit requirements

   Score 0 / 4

   No bias audit requirements found

   Note: SNIA ethics references aspirational; no regulatory instrument

3. E6.3

   Transparency obligations

   Score 1 / 4

   Law 2024/017 includes data subject rights and transparency for automated decisions

   Note: Data-law transparency only; sector-specific AI transparency rules absent

   Sources pollicy.medium.com (opens in a new tab)

4. E6.4

   Citizen redress mechanism

   Score 1 / 4

   Law 2024/017 provides for ADCP complaint filing; courts available for data rights

   Note: DPA complaint route exists in law but ADCP not yet fully operational

   Sources techhiveadvisory.africa (opens in a new tab)

5. E6.5

   Judicial AI remedy

   Score 1 / 4

   No documented AI-specific court cases or established jurisdiction; general civil courts available

   Note: Emerging stage only; legal system capable but untested on AI disputes

6. E6.6

   AI advisory body diversity

   Score 1 / 4

   CONIA 2025 included diverse stakeholders; no formal standing AI advisory body with documented diversity criteria

   Note: Advisory body proposed under SNIA (Presidential Council); not yet established

   Sources theguardianpostcameroon.com (opens in a new tab)

7. E6.7

   Global AI governance participation

   Score 2 / 4

   SNIA registered on OECD.AI policy tracker; Cameroon referenced in CIPESA continental AI governance report; GPAI engagement proposed in SNIA

   Note: Observer-level; active GPAI/OECD membership not confirmed

   Sources oecd.ai (opens in a new tab)

8. E6.8

   Civil society AI engagement

   Score 2 / 4

   CONIA 2025 formally included civil society and NGOs; Paradigm Initiative and CIPESA document Cameroon AI developments

   Note: Formal one-time consultation confirmed; ongoing mechanism not institutionalised

   Sources paradigmhq.org (opens in a new tab)

9. E6.9

   African ethical framework reference

   Score 2 / 4

   SNIA states strategy is 'rooted in African cultural realities' and 'based on African values'

   Note: Substantive but not foundational integration; African values cited in strategy preamble

   Sources techparley.com (opens in a new tab)

10. E6.10

    Youth participation

    Score 2 / 4

    CONIA 2025 included youth innovators and startup community; AYE-Data4Her and similar civil society organisations active in AI/data space

    Note: Youth consulted in strategy development; no standing advisory role confirmed

    Sources theguardianpostcameroon.com (opens in a new tab)

Mean of all 10 indicator scores. Central Africa mean 1.34 · all 54 states mean 1.55.

1. R7.1

   AU AI Strategy alignment

   Score 2 / 4

   SNIA references AU Agenda 2063; plans to represent Cameroon in AU AI Technical Committee forums; formal alignment process underway

   Note: Alignment process in SNIA; full alignment not independently verified through AU reporting

   Sources oecd.ai (opens in a new tab)

2. R7.2

   Kigali Declaration endorsement

   Score 3 / 4

   No confirmed Kigali Declaration endorsement found

   Note: Likely under consideration given SNIA regional cooperation pillar

   Scoring basis Official signatory list applied. Signatory of the Africa Declaration on AI (Kigali, 4 April 2025), C4IR list: "Endorsed" = 3.

   Sources c4ir.rw (opens in a new tab)

3. R7.3

   REC AI governance coordination

   Score 2 / 4

   ECCAS 26th Summit (June 2025) attended by Cameroon's Minister of External Relations; SNIA proposes Central African Regional AI Network

   Note: Active ECCAS participation; dedicated AI coordination mechanism not yet operational

   Sources cameroon-tribune.cm (opens in a new tab)

4. R7.4

   Cross-border AI agreements

   Score 1 / 4

   No bilateral or multilateral AI governance cooperation agreements confirmed; SNIA calls for international partnerships

   Note: Nascent; general digital cooperation agreements may exist

5. R7.5

   Election integrity AI provisions

   Score 0 / 4

   No specific legal or institutional provisions on AI in elections found

   Note: CIPESA flags disinformation risks; no legislative response confirmed

6. R7.6

   Disinformation response framework

   Score 1 / 4

   CIPESA 2025 documents Cameroon's disinformation risks; no formal government AI disinformation framework

   Note: Ad hoc at best; ANTIC has some cybercrime monitoring capacity

   Sources cipesa.org (opens in a new tab)

7. R7.7

   AI election incidents documented

   Score 1 / 4

   No publicly documented AI-related election interference incidents for Cameroon

   Scoring basis Threshold applied. Raw value: 1 (rule band). Scored on documented institutional response, not incident count. Raw value read from the evidence: "No publicly documented AI-related election interference incidents for Cameroon" [incidents: 0; R7.6 ANTIC "some cybercrime monitoring capacity"]. Checked against the evidence on 7 October 2026: confirmed.

8. R7.8

   Platform content moderation

   Score 1 / 4

   No formal government engagement with platforms on AI content moderation for Cameroonian context

   Note: CIPESA flags risks of opaque content moderation

   Sources cipesa.org (opens in a new tab)

9. R7.9

   Geneva Dialogue participation

   Score 1 / 4

   No confirmed Cameroon delegation to UN Global AI Dialogue (July 2026)

   Note: Likely observer at best given nascent multilateral AI engagement

10. R7.10

    G20/multilateral AI engagement

    Score 1 / 4

    Cameroon not a G20/BRICS member; SNIA references GPAI participation aspiration; OECD.AI hosts Cameroon's strategy

    Note: Observer-level; no confirmed active membership in major multilateral AI bodies

    Sources oecd.ai (opens in a new tab)

Mean of all 10 indicator scores. Central Africa mean 0.60 · all 54 states mean 0.78.

1. M8.1

   AI governance budget disbursed

   Score 1 / 4

   World Bank PATNUC funds agritech digital innovation (CFA40M per winner, 2026 edition); no ring-fenced AI governance budget figure

   Note: AI governance budget not disaggregated; finance flows primarily through World Bank/donor channels

   Scoring basis Fellow score kept; no raw value for the threshold.

   Sources businessincameroon.com (opens in a new tab)

2. M8.2

   Health AI regulation

   Score 1 / 4

   No specific health AI regulation; Law 2022/008 on medical research touches health data; SNIA targets health as priority

   Note: Under discussion; no health AI-specific guidelines or legislation

   Sources datalaw.africa (opens in a new tab)

3. M8.3

   Health AI devices approved

   Score 0 / 4

   No formal health AI device approval mechanism found

   Note: ML tools in use (e.g., TB diagnosis ML at Yaoundé Jamot Hospital) but no approval process

   Scoring basis Threshold applied. Raw value: 0 (authorised devices). Raw value read from the evidence: "ML tools in use (e.g., TB diagnosis ML at Yaoundé Jamot Hospital) but no approval process". Checked against the evidence on 7 October 2026: confirmed.

4. M8.4

   Government AI system registry

   Score 0 / 4

   No registry of government AI systems in use found

   Note: SNIA's governance architecture would include this; not yet implemented

5. M8.5

   AI governance M&E reports

   Score 0 / 4

   No published M&E report on AI governance implementation; SNIA adopted July 2025, too early for reporting cycle

   Note: First annual report expected no earlier than 2026–2027

   Scoring basis Threshold applied. Raw value: 0 (reports).

6. M8.6

   Agriculture AI governance

   Score 2 / 4

   PATNUC agritech innovation challenge (2nd edition, 2026) provides government funding/oversight; Ndemri ML soil/plant health tool active in Far North

   Note: Active government programme; no formal agri-AI governance guidelines yet

   Sources businessincameroon.com (opens in a new tab)

7. M8.7

   Financial services AI governance

   Score 1 / 4

   No AI-specific financial services regulation; COBAC operates regionally; fintech startups (CamPay, Diool) active

   Note: Under discussion regionally; no country-level provision confirmed

8. M8.8

   Education AI governance

   Score 1 / 4

   SNIA references AI in education as priority sector; no education AI policy or guidelines adopted

   Note: Under discussion; reform planned but not yet adopted

   Sources nkafu.org (opens in a new tab)

9. M8.9

   Measurable governance outcomes

   Score 1 / 4

   Early use cases: Ndemri agriculture, GOV-AI public administration tool, Giftedmom maternal health; no systematic governance evidence

   Note: Anecdotal/project-level evidence; no systematic government reporting

   Sources nkafu.org (opens in a new tab)

10. M8.10

    WHO AI health guidance adoption

    Score 1 / 4

    No formal adoption of WHO Ethics and Governance of AI for Health guidance; awareness via UNDP AI training

    Note: Awareness stage only; no formal government adoption

    Sources undp.org (opens in a new tab)