Africa AI Governance Index 2026 · Country profile on AI governance

Country Profile on AI Governance: Cape Verde

Cape Verde scores 0.91 out of 4 on the Africa AI Governance Index 2026. It sits in the Nascent tier and ranks 38 of 54 states.

Region
West Africa
Version
1.2 · 7 October 2026
Evidence reference date
30 June 2026
Overview

Cape Verde at a glance

How to read this profile

The Index is diagnostic. It measures formal governance instruments, not capability. Composite differences under about 0.1 are not meaningful.

Country

Population (2024)
524,877
Region
West Africa
Regional economic communities
Economic Community of West African States
Geography
Coastal, 3 international submarine cable systems in service

Governance status

  • National AI strategy S1.1

    1 / 4

  • Data protection law G2.2

    3 / 4

  • AI regulatory body G2.5

    1 / 4

  • Malabo Convention ratification G2.7

    2 / 4

  • Kigali Declaration endorsement R7.2

    3 / 4

Scores are indicator scores on the 0–4 key in the method section, not maturity tiers.

Headline assessment

Cape Verde scores 0.91 out of 4 on the Africa AI Governance Index 2026. It sits in the Nascent tier and ranks 38 of 54 states. The score rests on 78 of 80 indicators scored from the fellow country profile. The strongest pillar is Strategy & Vision (1.70). The weakest is Implementation & Impact (0.11). The West Africa mean is 1.27. The mean for all 54 states is 1.33.

Strongest pillar
Strategy & Vision1.70 / 4Emerging
Weakest pillar
Implementation & Impact0.11 / 4Nascent

Indicators scored: 78 / 80

Pillar scores

Pillar scores at a glance

Each pillar is scored from 0 to 4 as the mean of its scored indicators.

Bar chart of Cape Verde's eight pillar scores out of 4, compared with the West Africa mean and the mean of all 54 states. The same figures are listed beside each bar and in the table below.
  • Cape Verde score
  • West Africa mean
  • All 54 states mean
  1. P1Strategy & Vision
    1.70Emerging

    West Africa: 1.70
    All 54 states: 1.76

  2. P2Governance & Regulation
    1.20Emerging

    West Africa: 1.18
    All 54 states: 1.32

  3. P3Infrastructure & Data
    1.00Emerging

    West Africa: 1.40
    All 54 states: 1.51

  4. P4Human Capital
    0.60Nascent

    West Africa: 1.14
    All 54 states: 1.20

  5. P5Innovation & Ecosystem
    0.40Nascent

    West Africa: 1.04
    All 54 states: 1.05

  6. P6Ethics & Inclusion
    0.60Nascent

    West Africa: 1.21
    All 54 states: 1.26

  7. P7Regional Integration
    1.20Emerging

    West Africa: 1.66
    All 54 states: 1.55

  8. P8Implementation & Impact
    0.11Nascent

    West Africa: 0.63
    All 54 states: 0.78

  9. Composite (weighted)
    0.91Nascent

    West Africa: 1.27
    All 54 states: 1.33

View the pillar scores as a table
Cape Verde pillar scores on the Africa AI Governance Index 2026
PillarBasisWeightScore (0–4)MaturityWest Africa meanAfrica mean
P1 Strategy & VisionMean of 10/10 indicators15%1.70Emerging1.701.76
P2 Governance & RegulationMean of 10/10 indicators15%1.20Emerging1.181.32
P3 Infrastructure & DataMean of 9/10 indicators15%1.00Emerging1.401.51
P4 Human CapitalMean of 10/10 indicators15%0.60Nascent1.141.20
P5 Innovation & EcosystemMean of 10/10 indicators10%0.40Nascent1.041.05
P6 Ethics & InclusionMean of 10/10 indicators10%0.60Nascent1.211.26
P7 Regional IntegrationMean of 10/10 indicators10%1.20Emerging1.661.55
P8 Implementation & ImpactMean of 9/10 indicators10%0.11Nascent0.630.78
Composite (weighted)—100%0.91Nascent1.271.33
Country report

What the scores say about Cape Verde

Cape Verde scores 0.91 out of 4 on the Africa AI Governance Index 2026, in the Nascent tier, and ranks 38 of 54. The Index scores 78 of 80 indicators. The strongest pillar is Strategy and Vision at 1.70. The weakest is Implementation and Impact at 0.11. The composite sits below the West Africa mean of 1.27 and the Africa mean of 1.33. The evidence explains the profile: Cape Verde governs AI through its general digital transformation and data governance instruments, a national AI strategy is still under development, and the profile records almost no AI-specific rules, bodies or reporting.

P1Strategy & Vision1.70 / 4Emerging

Cape Verde scores 1.70 on Strategy and Vision, in the Emerging tier, equal to the West Africa mean of 1.70. The profile records that the government launched a national data and AI strategy initiative through official channels (S1.3, score 3) and that digital governance reforms include multi-sector engagement structures (S1.6, score 3). The digital governance plan includes a structured action plan of 300+ actions (S1.8, score 2), and the PA-EGDCV embeds monitoring mechanisms for digital governance (S1.9, score 2). The national AI strategy is under development as part of the 2026 digital transformation agenda (S1.1, score 1). No formal adoption date is published (S1.2, score 0), and the profile identifies no explicit AI-only budget line (S1.4, score 1).

See the 10 indicators for Strategy & Vision

P2Governance & Regulation1.20 / 4Emerging

Cape Verde scores 1.20 on Governance and Regulation, in the Emerging tier. The profile records that a data protection framework exists under the national legal system, aligned with European Union style governance principles, with limited enforcement capacity (G2.2, score 3). The evidence describes Malabo Convention ratification as not fully confirmed in public legal registers (G2.7, score 2). Cape Verde has no standalone AI law (G2.1, score 1) and no standalone AI authority (G2.5, score 1), and data governance institutions have no defined AI regulatory role (G2.3, score 1). The profile finds no published staffing or budget figures for the data protection authority (G2.4, score 0) and no documented AI enforcement cases (G2.8, score 0).

See the 10 indicators for Governance & Regulation

P3Infrastructure & Data1.00 / 4Emerging

Cape Verde scores 1.00 on Infrastructure and Data, in the Emerging tier, with 9 of 10 indicators scored. The scoring basis counts 3 submarine cable systems (I3.3, score 2). General data governance frameworks exist, with no strict AI-specific localisation law (I3.7, score 2), and the evidence describes cross-border data governance as influenced by European Union style standards and regional agreements (I3.8, score 2). Domestic hosting infrastructure is limited (I3.1, score 1). The profile finds no published megawatt figures (I3.2, score 0), no official bandwidth disclosure (I3.4, score 0) and no confirmed local hyperscaler data centres (I3.5, score 0). No sovereign cloud is operational (I3.10, score 1). Foreign AI surveillance spending is not scored (I3.9).

See the 10 indicators for Infrastructure & Data

P4Human Capital0.60 / 4Nascent

Cape Verde scores 0.60 on Human Capital, in the Nascent tier. The highest score is for school computing: ICT integration exists in education reform efforts (H4.6, score 2). The scoring basis records 5.72 AI papers per million people (H4.4, score 1). The University of Cape Verde offers ICT and computer science, not dedicated AI degrees (H4.3, score 0). The profile finds no published competency breakdown of CNPD staff (H4.2, score 0), no recorded domestic AI patents (H4.5, score 0) and no assessment of AI in the informal economy (H4.9, score 0). African language coverage scores 0 (H4.10); that score is retained and under second-edition review, because the Thresholds sheet lists Kabuverdianu as covered by NLLB-200.

See the 10 indicators for Human Capital

P5Innovation & Ecosystem0.40 / 4Nascent

Cape Verde scores 0.40 on Innovation and Ecosystem, in the Nascent tier. No indicator scores above 1. Six indicators score 0: the profile finds no national AI industry registry (N5.1), no AI-specific investment reporting (N5.2), no dedicated AI incubator (N5.3), no AI regulatory sandbox (N5.4), no published ISO 42001 implementation records (N5.7) and no formal AI risk frameworks (N5.9). Four indicators score 1. ICT procurement exists without a structured AI procurement policy (N5.5). The country has no dedicated AI safety lab and limited university-level ICT research capacity (N5.6). National standards infrastructure exists with no AI-dedicated committee identified (N5.8). Collaboration between academia and the telecom and private sector is limited, with no structured AI joint labs identified (N5.10).

See the 10 indicators for Innovation & Ecosystem

P6Ethics & Inclusion0.60 / 4Nascent

Cape Verde scores 0.60 on Ethics and Inclusion, in the Nascent tier. No indicator scores above 1. The profile confirms no legal or policy requirement for algorithmic impact assessments (E6.1, score 0), no formal bias audit regulation (E6.2, score 0), no known AI-related judicial rulings (E6.5, score 0) and no formal national AI advisory council (E6.6, score 0). The other six indicators score 1 on general instruments that are not AI-specific. General digital governance transparency principles exist (E6.3), and general administrative complaint mechanisms exist (E6.4). Civil society engagement occurs in broader digital policy processes, with no structured AI-specific platform (E6.8). Youth inclusion appears in general digital innovation discussions, with no formal youth AI governance body (E6.10).

See the 10 indicators for Ethics & Inclusion

P7Regional Integration1.20 / 4Emerging

Cape Verde scores 1.20 on Regional Integration, in the Emerging tier. The scoring basis lists Cape Verde as a signatory of the Africa Declaration on AI, Kigali, 4 April 2025 (R7.2, score 3). The evidence describes engagement through African Union digital transformation discussions, with no formal alignment framework published (R7.1, score 2), and participation in digital governance discussions related to the Economic Community of West African States (R7.3, score 2). The profile finds no AI-specific electoral integrity framework (R7.5, score 0); the file notes a parliamentary election on 17 May 2026. General media and cybercrime laws apply to disinformation, with no AI-specific framework (R7.6, score 1). Cape Verde is not a member of the G20 or BRICS (R7.10, score 0).

See the 10 indicators for Regional Integration

P8Implementation & Impact0.11 / 4Nascent

Cape Verde scores 0.11 on Implementation and Impact, in the Nascent tier, with 9 of 10 indicators scored. Eight of the nine score 0. The profile finds no AI-specific regulation for health (M8.2), agriculture (M8.6) or education (M8.8), no documented approvals of AI-based medical devices (M8.3), no AI system registry (M8.4), no AI monitoring reports (M8.5) and no documented governance outcomes (M8.9). The financial sector is regulated, with no AI-specific rules identified (M8.7, score 1). Budget disbursed is not scored because the profile cell was broken; that status is under second-edition review (M8.1). The editor's check in October 2026 found no AI-specific public disbursement and records that work on a public-sector AI strategy started on 28 April 2026.

See the 10 indicators for Implementation & Impact

Indicator evidence

Evidence by pillar

Evidence and score for each of the 80 indicators, with sources. Scores use the 0–4 indicator score key in the method section, which is a different scale from the maturity tiers. “Not scored” means nothing could be determined, or a score had no supporting evidence: the indicator is left out of the pillar mean rather than counted as 0. “N/A” and “Context only” sit outside the score.

P1 · Weight 15% of composite

Strategy & Vision

1.70 / 4Emerging

Mean of all 10 indicator scores. West Africa mean 1.70 · all 54 states mean 1.76.

  1. S1.1

    National AI strategy existence

    Score 1 / 4

    National AI strategy under development as part of 2026 digital transformation agenda

    Note: Strategy is not yet fully adopted; early formulation stage

    Sources techafricanews.com (opens in a new tab)

  2. S1.2

    Strategy adoption date

    Score 0 / 4

    No formal adoption date published

    Note: Still in formulation phase (2026 initiative)

    Scoring basis Threshold applied. Raw value: none (adoption date). No formally adopted national AI strategy.

  3. S1.3

    Political commitment signals

    Score 3 / 4

    Government launched national data and AI strategy initiative through official channels

    Note: Strong executive-level commitment to digital transformation

    Sources techafricanews.com (opens in a new tab)

  4. S1.4

    Dedicated AI budget allocation

    Score 1 / 4

    Digital transformation funding embedded within public sector modernization programs

    Note: No explicit AI-only budget line identified

    Sources governo.cv (opens in a new tab)

  5. S1.5

    AU Continental AI Strategy alignment

    Score 2 / 4

    Participation in continental digital governance discussions and emerging alignment via national digital strategy

    Note: Alignment is emerging but not formally mapped

    Sources ecofinagency.com (opens in a new tab)

  6. S1.6

    Multi-stakeholder consultation

    Score 3 / 4

    Digital governance reforms include multi-sector digital transformation engagement structures

    Note: Evidence of structured consultation in digital governance planning

    Sources unesco.org (opens in a new tab)

  7. S1.7

    Sector prioritisation

    Score 2 / 4

    Focus on public administration, service delivery, and digital government modernization

    Note: Sector focus exists but not AI-specific yet

    Sources governo.cv (opens in a new tab)

  8. S1.8

    Implementation roadmap

    Score 2 / 4

    Digital governance plan includes structured action plan (300+ actions)

    Note: Roadmap exists but not AI-dedicated

    Sources unesco.org (opens in a new tab)

  9. S1.9

    Monitoring and evaluation framework

    Score 2 / 4

    Public sector digital governance monitoring mechanisms embedded in PA-EGDCV

    Note: M&E exists for digital governance, not AI-specific

  10. S1.10

    Strategy review mechanism

    Score 1 / 4

    Policy updates occur through government digital reform cycles

    Note: No formal AI-specific review cycle yet

    Sources governo.cv (opens in a new tab)

P2 · Weight 15% of composite

Governance & Regulation

1.20 / 4Emerging

Mean of all 10 indicator scores. West Africa mean 1.18 · all 54 states mean 1.32.

  1. G2.1

    AI-specific legislation

    Score 1 / 4

    No standalone AI law; AI governance embedded in digital transformation agenda and emerging national AI strategy work

    Note: No formal AI Act exists yet

    Sources techafricanews.com (opens in a new tab)

  2. G2.2

    Data protection law status

    Score 3 / 4

    Data protection framework exists under national legal system aligned with EU-style governance principles

    Note: Implementation exists but enforcement capacity limited

    Sources governo.cv (opens in a new tab)

  3. G2.3

    DPA AI mandate

    Score 1 / 4

    Data governance institutions exist but no explicit AI regulatory authority role defined

    Note: AI oversight not yet formalized within DPA functions

    Sources governo.cv (opens in a new tab)

  4. G2.4

    DPA staffing and budget

    Score 0 / 4

    No publicly available consolidated staffing/budget figures

    Note: Institutional transparency data not published

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

  5. G2.5

    AI regulatory body existence

    Score 1 / 4

    AI governance structures are being considered within national AI/data strategy development process

    Note: No standalone AI authority exists

    Sources ecofinagency.com (opens in a new tab)

  6. G2.6

    Institutional design model

    Score 2 / 4

    Governance currently anchored in digital transformation and data governance institutions

    Note: Model is evolving toward hybrid digital governance

    Sources unesco.org (opens in a new tab)

  7. G2.7

    Malabo Convention ratification

    Score 2 / 4

    Cape Verde is part of AU digital governance discussions but ratification status not fully confirmed in public legal registers

    Note: No evidence of full implementation

    Sources au.int (opens in a new tab)

  8. G2.8

    Enforcement actions taken

    Score 0 / 4

    No documented AI enforcement cases

    Note: AI regulation not yet operational

  9. G2.9

    Extraterritorial provisions

    Score 1 / 4

    Digital law framework exists but no explicit AI extraterritorial rules

    Note: Coverage limited to general ICT/data laws

    Sources governo.cv (opens in a new tab)

  10. G2.10

    IP framework for AI

    Score 1 / 4

    No explicit AI-IP amendments; general IP law applies

    Note: No AI-specific IP reform evidence

    Sources wipo.int (opens in a new tab)

P3 · Weight 15% of composite

Infrastructure & Data

1.00 / 4Emerging

Mean of the 9 scored indicators; 1 carries no score. West Africa mean 1.40 · all 54 states mean 1.51.

No score: 1 context only.

  1. I3.1

    Data center count

    Score 1 / 4

    Cape Verde has limited domestic hosting infrastructure; most services rely on external hosting and telecom infrastructure

    Note: No evidence of hyperscale commercial data center ecosystem

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

    Sources governo.cv (opens in a new tab)

  2. I3.2

    Data center capacity (MW)

    Score 0 / 4

    No publicly available consolidated MW capacity figures

    Note: Capacity likely minimal and telecom-dependent

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

  3. I3.3

    Submarine cable landing points

    Score 2 / 4

    Cape Verde is connected via major submarine cable systems supporting Atlantic connectivity

    Note: Strategic Atlantic connectivity hub but limited redundancy

    Scoring basis Threshold applied. 3 cable systems (TeleGeography, accessed 2026-10-06).

    Sources caboverde.com (opens in a new tab)

  4. I3.4

    International bandwidth (Gbps)

    Score 0 / 4

    No official consolidated bandwidth disclosure

    Note: Bandwidth constrained compared to continental hubs

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

  5. I3.5

    Hyperscaler presence

    Score 0 / 4

    No confirmed local hyperscaler data centers (AWS, Azure, Google Cloud not hosted locally)

    Note: Cloud services accessed regionally (EU/West Africa hubs)

    Sources aws.amazon.com (opens in a new tab)

  6. I3.6

    GPU/HPC access

    Score 1 / 4

    AI compute accessed mainly through external cloud services and academic partnerships

    Note: No national HPC or GPU cluster facility identified

    Sources unesco.org (opens in a new tab)

  7. I3.7

    Data localisation provisions

    Score 2 / 4

    General ICT/data governance frameworks exist but no strict AI-specific localization law

    Note: Likely applies to sensitive public sector data only

    Sources governo.cv (opens in a new tab)

  8. I3.8

    Cross-border data flow framework

    Score 2 / 4

    Data governance influenced by EU-style standards and regional agreements

    Note: No standalone comprehensive AI-era data transfer regime

    Sources wipo.int (opens in a new tab)

  9. I3.9

    Foreign AI surveillance spending

    Context only: Context flag outside the score

    No public procurement records indicating AI surveillance system imports

    Note: No evidence of large-scale surveillance AI procurement

    Scoring basis Context flag; outside the score. Raw value read from the evidence: "No public procurement records indicating AI surveillance system imports".

  10. I3.10

    Sovereign cloud initiatives

    Score 1 / 4

    Digital governance reforms include modernization of public infrastructure and cloud migration discussions

    Note: No operational sovereign cloud yet

    Sources ecofinagency.com (opens in a new tab)

P4 · Weight 15% of composite

Human Capital

0.60 / 4Nascent

Mean of all 10 indicator scores. West Africa mean 1.14 · all 54 states mean 1.20.

  1. H4.1

    AI researchers per million

    Score 1 / 4

    No national AI workforce registry; ICT-only research base

    Note: AI expertise embedded in general ICT roles

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

    Sources unesco.org (opens in a new tab)

  2. H4.2

    DPA staff with AI competency

    Score 0 / 4

    No published competency breakdown of CNPD staff

    Note: No evidence of AI-specialized regulatory capacity

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

    Sources cnpd.cv (opens in a new tab)

  3. H4.3

    University AI programs

    Score 0 / 4

    University of Cape Verde offers ICT/CS, not dedicated AI degrees

    Note: AI content embedded within general computing courses

    Scoring basis Threshold applied. Raw value: 0 (universities). Raw value read from the evidence: "University of Cape Verde offers ICT/CS, not dedicated AI degrees" [only one university discussed]. Checked against the evidence on 7 October 2026: confirmed.

    Sources unicv.edu.cv (opens in a new tab)

  4. H4.4

    African-authored AI publications

    Score 1 / 4

    No national AI bibliometric reporting system

    Note: Output mainly co-authored internationally

    Scoring basis Threshold applied. 3.0 papers/yr ÷ 0.52m people = 5.72 per million (floors applied).

    Sources scopus.com (opens in a new tab)

  5. H4.5

    AI patents filed

    Score 0 / 4

    No recorded AI patents filed domestically

    Note: Innovation system not AI-patent active

    Scoring basis Threshold applied. Raw value: 0 (AI patent applications/year).

    Sources wipo.int (opens in a new tab)

  6. H4.6

    K-12 CS education

    Score 2 / 4

    ICT integration exists in education reform efforts

    Note: Not yet standardized nationwide

    Sources governo.cv (opens in a new tab)

  7. H4.7

    AI workforce training programs

    Score 1 / 4

    Digital transformation programs include ICT training

    Note: No dedicated AI skilling program

    Sources ecofinagency.com (opens in a new tab)

  8. H4.8

    Labour transition policy

    Score 1 / 4

    Labour policy exists but not AI-specific

    Note: No structured AI transition strategy

    Sources ilo.org (opens in a new tab)

  9. H4.9

    Informal economy AI assessment

    Score 0 / 4

    No documented assessment exists

    Note: Informal economy not linked to AI policy

    Sources worldbank.org (opens in a new tab)

  10. H4.10

    African language NLP coverage

    Score 0 / 4

    Cape Verdean Creole underrepresented in NLP datasets

    Note: Portuguese dominates digital governance systems

    Scoring basis Threshold applied. Raw value: 0 of 1 (languages supported / major languages), normalised 0. 0% of major domestic languages. Raw value read from the evidence: "Cape Verdean Creole underrepresented in NLP datasets" [denominator (set by the editors, not taken from the profile text): Cape Verdean Creole]. Listed for second-edition review: The Thresholds sheet lists Kabuverdianu as covered by NLLB-200, which gives 1 of 1. The count used follows the profile text.

    Sources huggingface.co (opens in a new tab)

P5 · Weight 10% of composite

Innovation & Ecosystem

0.40 / 4Nascent

Mean of all 10 indicator scores. West Africa mean 1.04 · all 54 states mean 1.05.

  1. N5.1

    AI companies count

    Score 0 / 4

    No national AI industry registry or AI startup classification system

    Note: AI activity mostly embedded in general ICT firms

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

    Sources governo.cv (opens in a new tab)

  2. N5.2

    Private AI investment (USD)

    Score 0 / 4

    No venture capital or AI-specific investment reporting

    Note: Investment ecosystem is small and ICT-generalist

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

  3. N5.3

    AI incubators/accelerators

    Score 0 / 4

    No dedicated AI incubator identified; general innovation hubs exist

    Note: Incubation not AI-specialized

    Scoring basis Threshold applied. Raw value: 0 (incubators/accelerators). Raw value read from the evidence: "No dedicated AI incubator identified". Checked against the evidence on 7 October 2026: confirmed.

    Sources ecofinagency.com (opens in a new tab)

  4. N5.4

    Regulatory sandbox (AI)

    Score 0 / 4

    No regulatory sandbox framework for AI exists

    Note: No fintech-style or AI sandbox regime

    Sources governo.cv (opens in a new tab)

  5. N5.5

    Government AI procurement

    Score 1 / 4

    ICT procurement exists but no structured AI procurement policy

    Note: Procurement still general ICT-focused

    Sources governo.cv (opens in a new tab)

  6. N5.6

    AI safety evaluation capacity

    Score 1 / 4

    No dedicated AI safety lab; limited university-level ICT research capacity

    Note: No national AI testing authority

    Sources unesco.org (opens in a new tab)

  7. N5.7

    ISO/IEC 42001 adoption

    Score 0 / 4

    No published ISO 42001 implementation records

    Note: Standard not yet embedded nationally

    Sources iso.org (opens in a new tab)

  8. N5.8

    Standards body AI competency

    Score 1 / 4

    National standards infrastructure exists but no AI-dedicated committee identified

    Note: Early-stage standards development environment

    Sources un.org (opens in a new tab)

  9. N5.9

    AI risk assessment frameworks

    Score 0 / 4

    No formal AI risk frameworks published

    Note: Risk governance still emerging globally, absent locally

    Sources oecd.ai (opens in a new tab)

  10. N5.10

    University-industry AI partnerships

    Score 1 / 4

    Limited ICT collaboration between academia and telecom/private sector

    Note: No structured AI joint labs identified

    Sources unesco.org (opens in a new tab)

P6 · Weight 10% of composite

Ethics & Inclusion

0.60 / 4Nascent

Mean of all 10 indicator scores. West Africa mean 1.21 · all 54 states mean 1.26.

  1. E6.1

    Algorithmic impact assessment

    Score 0 / 4

    No legal or policy requirement for algorithmic impact assessments

    Note: No AI governance legal framework yet

    Sources governo.cv (opens in a new tab)

  2. E6.2

    Bias audit requirements

    Score 0 / 4

    No formal bias audit regulation exists

    Note: Not yet part of national regulatory framework

    Sources oecd.ai (opens in a new tab)

  3. E6.3

    Transparency obligations

    Score 1 / 4

    General digital governance transparency principles exist, but not AI-specific

    Note: No AI transparency law

    Sources unesco.org (opens in a new tab)

  4. E6.4

    Citizen redress mechanism

    Score 1 / 4

    General administrative complaint mechanisms exist, not AI-specific

    Note: No AI-specific redress system

    Sources governo.cv (opens in a new tab)

  5. E6.5

    Judicial AI remedy

    Score 0 / 4

    No known AI-related judicial rulings or jurisprudence

    Note: AI litigation not yet developed

    Sources worldbank.org (opens in a new tab)

  6. E6.6

    AI advisory body diversity

    Score 0 / 4

    No formal national AI advisory council exists

    Note: Advisory structures still in formation stage

    Sources ecofinagency.com (opens in a new tab)

  7. E6.7

    Global AI governance participation

    Score 1 / 4

    Participation mainly through UN and AU digital governance discussions

    Note: No leadership role in global AI governance

    Sources un.org (opens in a new tab)

  8. E6.8

    Civil society AI engagement

    Score 1 / 4

    Civil society engagement occurs in broader digital policy processes

    Note: No structured AI-specific engagement platform

    Sources unesco.org (opens in a new tab)

  9. E6.9

    African ethical framework reference

    Score 1 / 4

    African digital governance principles inform broader policy discourse

    Note: Not operationalized in AI regulation

    Sources au.int (opens in a new tab)

  10. E6.10

    Youth participation

    Score 1 / 4

    Youth inclusion appears in general digital innovation discussions

    Note: No formal youth AI governance body

    Sources governo.cv (opens in a new tab)

P7 · Weight 10% of composite

Regional Integration

1.20 / 4Emerging

Mean of all 10 indicator scores. West Africa mean 1.66 · all 54 states mean 1.55.

  1. R7.1

    AU AI Strategy alignment

    Score 2 / 4

    Engagement through AU digital transformation and emerging national AI strategy discussions

    Note: No formal alignment framework published yet

    Sources au.int (opens in a new tab)

  2. R7.2

    Kigali Declaration endorsement

    Score 3 / 4

    Cape Verde participates in African digital governance initiatives, but no explicit formal record widely published

    Note: No confirmed formal implementation record

    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)au.int (opens in a new tab)

  3. R7.3

    REC AI governance coordination

    Score 2 / 4

    Participation in ECOWAS-related digital governance discussions (indirect REC alignment)

    Note: No AI-specific REC framework exists

    Sources ecowas.int (opens in a new tab)

  4. R7.4

    Cross-border AI agreements

    Score 1 / 4

    Cooperation exists mainly in digital governance and data strategy development

    Note: No AI-specific bilateral treaties identified

    Sources ecofinagency.com (opens in a new tab)

  5. R7.5

    Election integrity AI provisions

    Score 0 / 4

    No AI-specific electoral integrity framework

    Note: Elections governed by traditional legal frameworks

    Sources electoralcommission.org (opens in a new tab)

  6. R7.6

    Disinformation response framework

    Score 1 / 4

    General media and cybercrime laws apply; no AI-specific disinformation framework

    Note: No structured AI disinformation response system

    Sources unesco.org (opens in a new tab)

  7. R7.7

    AI election incidents documented

    Score 1 / 4

    No documented AI-related election interference cases

    Note: Low digital manipulation exposure due to scale

    Scoring basis Threshold applied. Raw value: 1 (rule band). Scored on documented institutional response, not incident count. Raw value read from the evidence: "No documented AI-related election interference cases" [incidents: 0; R7.6 general media and cybercrime laws apply]. Checked against the evidence on 7 October 2026: confirmed.

    Sources idea.int (opens in a new tab)

  8. R7.8

    Platform content moderation

    Score 1 / 4

    General engagement with ICT platforms through telecom and regulatory channels

    Note: No AI-specific moderation policy

    Sources icann.org (opens in a new tab)

  9. R7.9

    Geneva Dialogue participation

    Score 1 / 4

    Small states typically participate via delegations rather than leadership roles

    Note: No evidence of active leadership role

    Sources un.org (opens in a new tab)

  10. R7.10

    G20/multilateral AI engagement

    Score 0 / 4

    Cape Verde is not a member of G20 or BRICS

    Note: Engagement only via UN/AU indirect channels

    Sources g20.org (opens in a new tab)

P8 · Weight 10% of composite

Implementation & Impact

0.11 / 4Nascent

Mean of the 9 scored indicators; 1 carries no score. West Africa mean 0.63 · all 54 states mean 0.78.

No score: 1 not scored (excluded from the mean).

  1. M8.1

    AI governance budget disbursed

    Not scored: Excluded from the pillar mean

    No AI-specific budget line or disbursement reporting exists

    Note: AI funding embedded in broader digital transformation spending

    Scoring basis Not determined; excluded from the pillar mean. Fellow entry "(broken reference in source file)" is not a 0–4 score and no usable raw value was found. Listed for second-edition review: Not scored. The check found no AI-specific disbursement, which would support a confirmed absence scored 0.

    Editor's note, 7 October 2026: The profile cell was broken, so the indicator is not scored. The October 2026 check found no AI-specific public disbursement. Work on a public-sector AI strategy started on 28 April 2026.

    Sources ecofinagency.com (opens in a new tab)governo.cv (opens in a new tab)

  2. M8.2

    Health AI regulation

    Score 0 / 4

    No AI-specific healthcare regulation framework

    Note: Healthcare regulation remains non-AI-specific

    Sources who.int (opens in a new tab)

  3. M8.3

    Health AI devices approved

    Score 0 / 4

    No documented approvals of AI-based medical devices

    Note: Medical device approval system exists but not AI-specific

    Scoring basis Threshold applied. Raw value: 0 (authorised devices). Raw value read from the evidence: "No documented approvals of AI-based medical devices". Checked against the evidence on 7 October 2026: confirmed.

    Sources who.int (opens in a new tab)

  4. M8.4

    Government AI system registry

    Score 0 / 4

    No AI system registry exists

    Note: No transparency mechanism for AI system inventory

    Sources oecd.ai (opens in a new tab)

  5. M8.5

    AI governance M&E reports

    Score 0 / 4

    No AI-specific monitoring and evaluation reports published

    Note: M&E exists only for general digital governance

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

    Sources unesco.org (opens in a new tab)

  6. M8.6

    Agriculture AI governance

    Score 0 / 4

    No agriculture-specific AI governance framework

    Note: Agriculture digitalization exists but not AI-regulated

    Sources fao.org (opens in a new tab)

  7. M8.7

    Financial services AI governance

    Score 1 / 4

    Financial sector regulated, but no AI-specific rules identified

    Note: Digital banking regulation exists but AI not explicitly governed

    Sources bcv.cv (opens in a new tab)

  8. M8.8

    Education AI governance

    Score 0 / 4

    No AI-specific education governance policy

    Note: Education policy includes ICT but not AI governance

    Sources unesco.org (opens in a new tab)

  9. M8.9

    Measurable governance outcomes

    Score 0 / 4

    No documented AI governance impact outcomes

    Note: AI governance system not yet operational

    Sources worldbank.org (opens in a new tab)

  10. M8.10

    WHO AI health guidance adoption

    Score 0 / 4

    No formal adoption, but global health governance awareness exists

    Note: No national implementation framework

    Sources who.int (opens in a new tab)

Method

What is the Africa AI Governance Index?

The Africa AI Governance Index 2026 assesses 8 pillars of national AI governance. Each pillar is examined through 10 indicators. The Index is diagnostic. It measures formal governance instruments, not capability. Composite differences under about 0.1 are not meaningful.

Indicator score key

Indicator score key, 0 to 4
ScoreDefinition
0 No evidenceNo policy, institution, or activity. Confirmed absence.
1 NascentInitial discussion, concept note, informal working group.
2 DevelopingDraft policy, institution forming, pilot, or formal consultation.
3 EstablishedAdopted policy or operational institution; limited enforcement.
4 AdvancedFully operational with enforcement and measurable outcomes.

Maturity tiers

Applied to pillar and composite means.

Maturity tiers by score range
TierMean score
NascentBelow 1.00
Emerging1.00 to 1.99
Developing2.00 to 2.99
Established3.00 and above

How scores are built

A pillar score is the mean of the scored indicators in that pillar. Confirmed absence scores 0. An indicator where nothing could be determined is excluded from the pillar mean and reported as not scored. A score with no supporting evidence is excluded.

The composite is 15% of each of pillars P1 to P4 plus 10% of each of pillars P5 to P8, on a scale of 0 to 4. In other words, P1, P2, P3, P4 carry 15% each and P5, P6, P7, P8 carry 10% each.

Source: Africa AI Governance Index 2026 Final Dataset, 54 countries, built 6 October 2026. Lawyers Hub, Africa AI Policy Lab. Version 1.2, 7 October 2026.

Suggested citation

Lawyers Hub, Africa AI Policy Lab (2026). Country Profile on AI Governance: Cape Verde. Africa AI Governance Index 2026, version 1.2, 7 October 2026. https://www.aipolicy.africa/country-profiles/cabo-verde