Africa AI Governance Index 2026 · Country profile on AI governance

Country Profile on AI Governance: Ghana

Ghana scores 2.23 out of 4 on the Africa AI Governance Index 2026. It sits in the Developing tier and ranks 8 of 54 states.

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

Ghana 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)
34.4 million
Region
West Africa
Regional economic communities
Economic Community of West African States
Geography
Coastal, 6 international submarine cable systems in service

Governance status

  • National AI strategy S1.1

    3 / 4

  • Data protection law G2.2

    3 / 4

  • AI regulatory body G2.5

    2 / 4

  • Malabo Convention ratification G2.7

    4 / 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

Ghana scores 2.23 out of 4 on the Africa AI Governance Index 2026. It sits in the Developing tier and ranks 8 of 54 states. The score rests on 79 of 80 indicators scored from the fellow country profile. The strongest pillar is Strategy & Vision (2.80). The weakest is Implementation & Impact (1.60). The West Africa mean is 1.27. The mean for all 54 states is 1.33.

Strongest pillar
Strategy & Vision2.80 / 4Developing
Weakest pillar
Implementation & Impact1.60 / 4Emerging

Indicators scored: 79 / 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 Ghana'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.
  • Ghana score
  • West Africa mean
  • All 54 states mean
  1. P1Strategy & Vision
    2.80Developing

    West Africa: 1.70
    All 54 states: 1.76

  2. P2Governance & Regulation
    2.10Developing

    West Africa: 1.18
    All 54 states: 1.32

  3. P3Infrastructure & Data
    2.33Developing

    West Africa: 1.40
    All 54 states: 1.51

  4. P4Human Capital
    2.30Developing

    West Africa: 1.14
    All 54 states: 1.20

  5. P5Innovation & Ecosystem
    2.30Developing

    West Africa: 1.04
    All 54 states: 1.05

  6. P6Ethics & Inclusion
    1.90Emerging

    West Africa: 1.21
    All 54 states: 1.26

  7. P7Regional Integration
    2.20Developing

    West Africa: 1.66
    All 54 states: 1.55

  8. P8Implementation & Impact
    1.60Emerging

    West Africa: 0.63
    All 54 states: 0.78

  9. Composite (weighted)
    2.23Developing

    West Africa: 1.27
    All 54 states: 1.33

View the pillar scores as a table
Ghana pillar scores on the Africa AI Governance Index 2026
PillarBasisWeightScore (0–4)MaturityWest Africa meanAfrica mean
P1 Strategy & VisionMean of 10/10 indicators15%2.80Developing1.701.76
P2 Governance & RegulationMean of 10/10 indicators15%2.10Developing1.181.32
P3 Infrastructure & DataMean of 9/10 indicators15%2.33Developing1.401.51
P4 Human CapitalMean of 10/10 indicators15%2.30Developing1.141.20
P5 Innovation & EcosystemMean of 10/10 indicators10%2.30Developing1.041.05
P6 Ethics & InclusionMean of 10/10 indicators10%1.90Emerging1.211.26
P7 Regional IntegrationMean of 10/10 indicators10%2.20Developing1.661.55
P8 Implementation & ImpactMean of 10/10 indicators10%1.60Emerging0.630.78
Composite (weighted)—100%2.23Developing1.271.33
Country report

What the scores say about Ghana

Ghana scores 2.23 out of 4 on the Africa AI Governance Index 2026, in the Developing tier, and ranks 8 of 54. The profile scores 79 of 80 indicators. The strongest pillar is Strategy & Vision at 2.80 and the weakest is Implementation & Impact at 1.60. The composite sits well above the West Africa mean of 1.27 and the Africa mean of 1.33. The evidence explains the profile through a National AI Strategy launched on 24 April 2026 with a multi-year fund attached, an enacted data protection law and a ratified Malabo Convention, set against AI legislation still in draft and a strategy too recent to show disbursement or monitoring reports.

P1Strategy & Vision2.80 / 4Developing

Strategy & Vision scores 2.80, Developing, with all 10 indicators scored. President John Mahama launched the National AI Strategy (2025 to 2035) on 24 April 2026 (S1.1, score 3; S1.3, score 4). The strategy names eight priority sectors (S1.7, score 4). A National AI Fund of GH¢5 billion is committed for 2025 to 2030, scaling to GH¢15 billion for 2030 to 2035 (S1.4, score 3). The plan has two phases (S1.8, score 3). A Responsible AI Office is proposed to monitor implementation, and the monitoring framework is not yet established (S1.9, score 2). No formal review mechanism is codified (S1.10, score 2). The adoption date scores 1 because the launch came 2 months before the cut-off (S1.2).

See the 10 indicators for Strategy & Vision

P2Governance & Regulation2.10 / 4Developing

Governance & Regulation scores 2.10, Developing, with all 10 indicators scored. Ghana signed the Malabo Convention on 4 July 2017 and ratified it on 13 May 2019 (G2.7, score 4). The Data Protection Act 2012 (Act 843) is enacted and the Data Protection Commission is operational (G2.2, score 3). The Emerging Technologies Bill 2025 is in draft, and no AI-specific legislation is enacted (G2.1, score 2). The Commission has no explicit AI mandate (G2.3, score 2). The Responsible AI Office is proposed but not established (G2.5, score 2). No AI-specific enforcement action is documented (G2.8, score 1), and Ghana has no full extraterritorial provisions for AI (G2.9, score 1).

See the 10 indicators for Governance & Regulation

P3Infrastructure & Data2.33 / 4Developing

Infrastructure & Data scores 2.33, Developing, with 9 of 10 indicators scored. The evidence counts about 5 to 8 commercial data centres, including a Tier IV facility (I3.1, score 3), and estimates national capacity at 20 to 30 MW (I3.2, score 3). Submarine cables score 3 on a count of 6 cable systems (I3.3). Bandwidth scores 3, though no exact figure is public (I3.4). No hyperscaler has declared a full local zone (I3.5, score 2). The $250m national AI computing centre is announced but not built (I3.6, score 2). No general data localisation law exists (I3.7, score 2). No sovereign cloud is operational (I3.10, score 1). Foreign AI surveillance spending is a context flag and is not scored (I3.9).

See the 10 indicators for Infrastructure & Data

P4Human Capital2.30 / 4Developing

Human Capital scores 2.30, Developing, with all 10 indicators scored. AI researchers score 4 on an estimate of 50 to 150 per million, with no official national count (H4.1). At least 5 to 8 universities offer AI or machine learning programmes (H4.3, score 3). Publications stand at 6.95 per million people (H4.4, score 3). Computer science is not mandatory nationwide (H4.6, score 2). No AI-specific labour transition policy is adopted (H4.8, score 2). Language tools cover 44% of major domestic languages (H4.10, score 2). The Data Protection Commission has an estimated 1 to 3 staff with AI competency (H4.2, score 1), and AI patents are estimated at fewer than 10 a year (H4.5, score 1).

See the 10 indicators for Human Capital

P5Innovation & Ecosystem2.30 / 4Developing

Innovation & Ecosystem scores 2.30, Developing, with all 10 indicators scored. The evidence estimates 50 to 150 AI-focused or AI-using companies (N5.1, score 3) and at least 5 to 8 AI-relevant incubator or accelerator programmes (N5.3, score 3). Formal agreements link universities with firms such as MTN and Vodafone Ghana (N5.10, score 3). Private AI investment scores 3, but the score is retained and under second-edition review: it applies an estimated AI share of 10 to 15% to total startup funding, and no AI-specific figure is published (N5.2). The Bank of Ghana fintech sandbox covers AI-enabled financial products, and no AI-specific sandbox exists (N5.4, score 2). No widespread ISO/IEC 42001 adoption is documented (N5.7, score 1).

See the 10 indicators for Innovation & Ecosystem

P6Ethics & Inclusion1.90 / 4Emerging

Ethics & Inclusion scores 1.90, Emerging, with all 10 indicators scored. The highest score is for participation in global AI governance processes, including those of the United Nations Educational, Scientific and Cultural Organization (E6.7, score 3). Seven indicators score 2. The National AI Strategy requires safe and transparent AI development, with no cross-sector mandate (E6.3). Citizens can complain to the Data Protection Commission, and no dedicated AI channel exists (E6.4). Civil society was consulted during strategy development, with no ongoing advisory mechanism (E6.8). Youth have no formal decision-making role in AI governance (E6.10). Two indicators score 1: algorithmic impact assessments are not mandatory (E6.1) and no bias audit requirements exist (E6.2).

See the 10 indicators for Ethics & Inclusion

P7Regional Integration2.20 / 4Developing

Regional Integration scores 2.20, Developing, with all 10 indicators scored. The National AI Strategy references alignment with the African Union Continental AI Strategy (R7.1, score 3). The Kigali Declaration indicator scores 3 on the signatory list for the Africa Declaration on AI of 4 April 2025 (R7.2). The Economic Community of West African States Supplementary Act on Personal Data applies (R7.3, score 3). No dedicated bilateral AI governance agreement is documented (R7.4, score 2). The file notes a general election on 7 December 2024. The Cyber Security Authority issued guidance ahead of the 2024 elections, and specific provisions on AI in elections are not enacted (R7.5, score 2). No AI-related election interference incident is documented for 2024 (R7.7, score 1).

See the 10 indicators for Regional Integration

P8Implementation & Impact1.60 / 4Emerging

Implementation & Impact scores 1.60, Emerging, with all 10 indicators scored. Financial services score 3: the Bank of Ghana fintech sandbox regulates AI-enabled financial services (M8.7). No AI-specific health regulation is enacted (M8.2, score 2), and no formal instrument confirms adoption of World Health Organization guidance on AI for health (M8.10, score 2). Documented deployments include Farmerline, with 150,000+ farmers, but outcomes are anecdotal (M8.9, score 2). The National AI Fund of GH¢5 billion is committed, with no verified disbursement as of June 2026 (M8.1, score 1). No AI health device approval pathway exists (M8.3, score 1) and no government registry of AI systems exists (M8.4, score 1). No monitoring report on the strategy is published (M8.5, score 0).

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

2.80 / 4Developing

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 3 / 4

    Ghana's National AI Strategy (2025–2035) was officially launched by President John Mahama on 24 April 2026 in Accra. The strategy is formally adopted with implementation underway.

    Note: Earlier drafts circulated as '2023–2033' strategy; the formally launched version is titled 2025–2035

    Sources ghanaweb.com (opens in a new tab)

  2. S1.2

    Strategy adoption date

    Score 1 / 4

    National AI Strategy formally launched by President Mahama on 24 April 2026 in Accra.

    Note: 2025-04

    Scoring basis Threshold applied. Adopted 2026-04: 2 months before 2026-06-30.

    Sources ghanafact.com (opens in a new tab)

  3. S1.3

    Political commitment signals

    Score 4 / 4

    President John Mahama personally launched the strategy; Minister Samuel Nartey George (MP, Ministry of Communications, Digital Technology and Innovation) led the process. Presidential directive issued for nationwide AI adoption by 2026.

    Note: High-level political ownership at presidential and ministerial level

    Sources moc.gov.gh (opens in a new tab)

  4. S1.4

    Dedicated AI budget allocation

    Score 3 / 4

    National AI Fund of GH¢5 billion (2025–2030) committed, scaling to GH¢15 billion (2030–2035). $250 million allocated for AI computing centre. $20 million for short/medium-term rollout.

    Note: Multi-year allocation exists but disbursement mechanisms still being established

    Sources ghanafact.com (opens in a new tab)

  5. S1.5

    AU Continental AI Strategy alignment

    Score 3 / 4

    Ghana's AI strategy explicitly references alignment with AU Continental AI Strategy and UNESCO ethical AI principles. International collaboration with UNESCO and British High Commission documented.

    Note: Partial-to-full alignment; formal AU alignment process ongoing

    Sources regulations.ai (opens in a new tab)

  6. S1.6

    Multi-stakeholder consultation

    Score 3 / 4

    Stakeholder Consultation Forum held prior to launch. Ministry engaged academia (KNUST led by Prof. Kponyo), private sector, civil society, and international partners in strategy development.

    Note: Formal consultation conducted; ongoing mechanism not yet codified

    Sources moc.gov.gh (opens in a new tab)

  7. S1.7

    Sector prioritisation

    Score 4 / 4

    Strategy identifies eight priority sectors: health, education, agriculture, transportation, public administration, financial services, environment/circular economy, and defence/border security. Each sector has specific use cases and targets.

    Note: Sector roadmaps included in the 84-page strategy document

    Sources dig.watch (opens in a new tab)

  8. S1.8

    Implementation roadmap

    Score 3 / 4

    Strategy includes phased implementation plan: 2025–2030 (Phase 1-foundational infrustructure), and 2030–2035 (Phase 2- commercilisation), with GDP and investment milestones. A Responsible AI (RAI) Office is proposed to coordinate implementation.

    Note: Milestones exist; accountability mechanisms still being operationalised

    Sources dig.watch (opens in a new tab)

  9. S1.9

    Monitoring and evaluation framework

    Score 2 / 4

    RAI Office proposed to monitor strategy implementation. M&E framework planned but not yet formally established or publicly reporting.

    Note: Planned M&E; active reporting not yet initiated

    Sources dig.watch (opens in a new tab)

  10. S1.10

    Strategy review mechanism

    Score 2 / 4

    Strategy covers a 10-year horizon (2025–2035) with two-phase structure suggesting built-in review points. No formal adaptive governance mechanism codified yet.

    Note: Ad hoc review likely; scheduled mechanism not yet formalised

    Sources modernghana.com (opens in a new tab)

P2 · Weight 15% of composite

Governance & Regulation

2.10 / 4Developing

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

  1. G2.1

    AI-specific legislation

    Score 2 / 4

    Emerging Technologies Bill 2025 drafted to regulate AI, blockchain, and robotics. Data Protection Bill 2025 also in draft. No enacted AI-specific legislation yet. Cyber Security Act 2020 (Act 1038) covers AI systems within 'digital ecosystem' definition.

    Note: Bills in draft stage; enactment expected 2026

    Sources iclg.com (opens in a new tab)

  2. G2.2

    Data protection law status

    Score 3 / 4

    Data Protection Act 2012 (Act 843) is enacted. Data Protection Bill 2025 drafted to upgrade framework. Data Protection Commission (DPC) is operational.

    Note: DPA operational but enforcement capacity limited

    Sources oakslegal.net (opens in a new tab)

  3. G2.3

    DPA AI mandate

    Score 2 / 4

    Data Protection Commission exists under Act 843. No explicit AI oversight mandate; however, DPC has engaged informally on AI issues. New Data Protection Bill 2025 proposes enhanced authority but not yet enacted.

    Note: Informal AI engagement noted; formal mandate pending new legislation

    Sources digitalpolicyalert.org (opens in a new tab)

  4. G2.4

    DPA staffing and budget

    Score 2 / 4

    DPC staffing and budget not publicly disclosed in detail. Budget funded from state appropriations. Staff numbers estimated at under 50 FTE.

    Note: Exact figures not publicly available as of June 2026

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

    Sources dataprotection.africa (opens in a new tab)

  5. G2.5

    AI regulatory body existence

    Score 2 / 4

    Responsible AI (RAI) Office proposed in National AI Strategy but not yet established. Ministry of Communications, Digital Technology and Innovation serves as de facto AI governance lead.

    Note: Proposed; not yet operational

    Sources dig.watch (opens in a new tab)

  6. G2.6

    Institutional design model

    Score 2 / 4

    Hybrid model: DPA-led for data/privacy; sector regulators (Bank of Ghana, NCA, CSA) handle respective domains; Emerging Technologies Agency proposed under new bill.

    Note: No single AI body yet; fragmented co-regulatory approach

    Sources dataguidance.com (opens in a new tab)

  7. G2.7

    Malabo Convention ratification

    Score 4 / 4

    Ghana signed the Malabo Convention on 04 July 2017 and ratified it on 13 May 2019 (effective 03 June 2019). Ghana is a full ratifier.

    Note: One of only 16 African states to have ratified the convention

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

  8. G2.8

    Enforcement actions taken

    Score 1 / 4

    No documented AI-specific enforcement actions. DPC has conducted general data protection investigations. Emerging Technologies Bill not yet enacted.

    Note: Investigation capacity exists but no AI-specific actions documented

    Sources digitalpolicyalert.org (opens in a new tab)

  9. G2.9

    Extraterritorial provisions

    Score 1 / 4

    No comprehensive extraterritorial provisions for AI. Data Protection Act has limited cross-border provisions. Emerging Technologies Bill 2025 may include provisions.

    Note: Under consideration in pending legislation

    Sources digitalpolicyalert.org (opens in a new tab)

  10. G2.10

    IP framework for AI

    Score 2 / 4

    IP framework review not formally completed for AI-generated content. Emerging Technologies Bill touches on IP aspects. Amendments drafted but not yet enacted.

    Note: Amendments under consideration in multiple pending bills

    Sources dataguidance.com (opens in a new tab)

P3 · Weight 15% of composite

Infrastructure & Data

2.33 / 4Developing

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 3 / 4

    Ghana hosts the only Tier IV data centre in West Africa, plus multiple Tier III facilities. Major operators include Vodafone Ghana, Rack Centre (Equinix), and CSquared.

    Note: Approx. 5–8 commercial data centres; exact count varies by classification

    Scoring basis Threshold applied. Raw value: 6.5 (data centres).

    Sources adomonline.com (opens in a new tab)

  2. I3.2

    Data center capacity (MW)

    Score 3 / 4

    Tier IV facility estimated at 10 MW; total national data centre capacity estimated at 20–30 MW. Expansion underway.

    Note: Exact total MW not publicly reported

    Scoring basis Threshold applied. Raw value: 25 (MW).

    Sources trade.gov (opens in a new tab)

  3. I3.3

    Submarine cable landing points

    Score 3 / 4

    Ghana has multiple submarine cable landing points including SAT-3/WASC, MainOne, ACE, and WACS at Accra/Tema.

    Note: 4 major cable systems landing; more planned

    Scoring basis Threshold applied. 6 cable systems (TeleGeography, accessed 2026-10-06).

    Sources ts2.tech (opens in a new tab)

  4. I3.4

    International bandwidth (Gbps)

    Score 3 / 4

    Total international bandwidth has expanded significantly. Ghana ranks 15/47 African countries in ITU ICT Development Index 2024.

    Note: Exact Gbps figure not publicly available; substantial capacity

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

    Sources trade.gov (opens in a new tab)

  5. I3.5

    Hyperscaler presence

    Score 2 / 4

    AWS, Microsoft Azure, and Google Cloud have regional/PoP infrastructure serving Ghana but no full local zones declared as of mid-2026. Local cloud providers (e.g. Liquid Intelligent Technologies) are present.

    Note: 1–2 hyperscalers with partial infrastructure; full local zones pending

    Sources trade.gov (opens in a new tab)

  6. I3.6

    GPU/HPC access

    Score 2 / 4

    KNUST Responsible AI Lab and University of Ghana's computer science departments have limited GPU capacity. Commercial GPU access limited. National AI computing centre ($250m) announced but not yet built.

    Note: Academic access only; no national HPC facility yet

    Sources ecofinagency.com (opens in a new tab)

  7. I3.7

    Data localisation provisions

    Score 2 / 4

    No general data localisation law. In June 2024, Minister for Communications announced plans for government data localisation. Sectoral requirements exist in banking/finance.

    Note: Sectoral provisions only; general framework announced but not legislated

    Sources digitalpolicyalert.org (opens in a new tab)

  8. I3.8

    Cross-border data flow framework

    Score 2 / 4

    Data Protection Act 2012 requires controllers to disclose transfer destinations and obtain consent. No comprehensive bilateral or multilateral framework. ECOWAS Supplementary Act on Personal Data provides regional framework.

    Note: Regional ECOWAS framework applies; comprehensive bilateral agreements lacking

    Sources digitalpolicyalert.org (opens in a new tab)

  9. I3.9

    Foreign AI surveillance spending

    Context only: Context flag outside the score

    No confirmed spending on foreign AI surveillance systems publicly documented. CSA monitors cybersecurity threats. Some procurement of surveillance technology exists but AI-specific spending unknown.

    Note: Unknown/unconfirmed; no public disclosure

    Scoring basis Context flag; outside the score.

    Sources freedomhouse.org (opens in a new tab)

  10. I3.10

    Sovereign cloud initiatives

    Score 1 / 4

    No operational sovereign cloud. Government data localisation plans announced June 2024. National AI Strategy includes $250 million for AI computing centre, planned but not yet operational.

    Note: Planned; procurement/construction not yet initiated

    Sources ecofinagency.com (opens in a new tab)

P4 · Weight 15% of composite

Human Capital

2.30 / 4Developing

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 4 / 4

    No official national count. Estimated 50–150 active AI/ML researchers in academia and industry per million population (Ghana pop 35m). KNUST, University of Ghana, and Ashesi University are primary research hubs.

    Note: Estimated 100/million; no official survey conducted

    Scoring basis Threshold applied. Raw value: 100 (AI researchers per million).

    Sources ecofinagency.com (opens in a new tab)

  2. H4.2

    DPA staff with AI competency

    Score 1 / 4

    DPC staff with AI technical competency estimated at 1–3 individuals. New Data Protection Bill 2025 seeks to build authority capacity.

    Note: Very limited; capacity building needed

    Scoring basis Threshold applied. Raw value: 2 (staff).

    Sources dataprotection.africa (opens in a new tab)

  3. H4.3

    University AI programs

    Score 3 / 4

    KNUST, University of Ghana, Ashesi University, GIMPA, and University of Professional Studies Accra offer AI/ML degree or certificate programmes. At least 5–8 universities offer relevant programmes.

    Note: Growing; specific count 5–8 universities

    Scoring basis Threshold applied. Raw value: 6.5 (universities).

    Sources ecofinagency.com (opens in a new tab)

  4. H4.4

    African-authored AI publications

    Score 3 / 4

    Ghana Natural Language Processing (NLP) group and KNUST Responsible AI Lab publish. Annual publications estimated at 50–150 AI-related papers with at least one Ghana-affiliated author.

    Note: Growing output; exact annual count not centrally tracked

    Scoring basis Threshold applied. 239.3 papers/yr ÷ 34.43m people = 6.95 per million (floors applied).

    Sources techlabari.com (opens in a new tab)

  5. H4.5

    AI patents filed

    Score 1 / 4

    Few AI-related patents filed domestically annually. Ghana's IP office capacity for AI patents is limited. Estimated <10 AI patents per year.

    Note: Nascent patent culture for AI; most innovations not formally patented

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

    Sources regulations.ai (opens in a new tab)

  6. H4.6

    K-12 CS education

    Score 2 / 4

    Computer science and ICT are part of national curriculum but not mandatory nationwide. Coding/ICT integrated in some schools through Digital Ghana Agenda. One Million Coders Program targets youth.

    Note: Elective/integrated in some grades; not mandatory nationwide

    Sources moc.gov.gh (opens in a new tab)

  7. H4.7

    AI workforce training programs

    Score 3 / 4

    One Million Coders Program actively enrolling. Ghana Tech Lab, MEST, and government-affiliated programmes provide AI/data skills training. National AI Strategy commits to workforce development.

    Note: Multiple programmes at scale; coordination under RAI Office planned

    Sources moc.gov.gh (opens in a new tab)

  8. H4.8

    Labour transition policy

    Score 2 / 4

    No formally adopted national labour transition policy specific to AI. National AI Strategy references job creation and displacement risks. Ministry of Employment not yet engaged with AI-specific framework.

    Note: Under discussion within AI Strategy process; no standalone adopted policy

    Sources myjoyonline.com (opens in a new tab)

  9. H4.9

    Informal economy AI assessment

    Score 2 / 4

    National AI Strategy 2025–2035 acknowledges AI impact on informal economy and job displacement risks. No dedicated government impact assessment study published yet.

    Note: Acknowledged in strategy; formal assessment study planned but not conducted

    Sources myjoyonline.com (opens in a new tab)

  10. H4.10

    African language NLP coverage

    Score 2 / 4

    Ghana NLP group covers Twi, Ga, Ewe, Hausa, and Dagbani. Aya Data and Masakhane collaborations expand coverage. At least 5 Ghanaian languages have meaningful NLP/LLM support.

    Note: Approximately 5 domestic languages with NLP coverage; growing

    Scoring basis Threshold applied. Raw value: 4 of 9 (languages supported / major languages), normalised 44.4. 44% of major domestic languages. Raw value read from the evidence: "Ghana NLP group covers Twi, Ga, Ewe, Hausa, and Dagbani." [Twi (Akan), Ga, Ewe, Dagbani counted; Hausa is not a government-sponsored language; denominator (my. Checked against the evidence on 7 October 2026: confirmed.

    Sources techlabari.com (opens in a new tab)

P5 · Weight 10% of composite

Innovation & Ecosystem

2.30 / 4Developing

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

  1. N5.1

    AI companies count

    Score 3 / 4

    Notable AI companies include Mino Health, Aya Data, Ghana NLP, mPharma, Farmerline, AgroCenta, and numerous fintech firms using AI. Estimated 50–150 AI-focused or AI-using companies operational.

    Note: Exact count unavailable; ecosystem growing rapidly

    Scoring basis Threshold applied. Raw value: 100 (companies).

    Sources techlabari.com (opens in a new tab)

  2. N5.2

    Private AI investment (USD)

    Score 3 / 4

    Ghanaian startups raised $450 million in 2024 (65% YoY increase). AI share estimated at 10–15% of total. Aya Data raised $900,000 in dedicated AI investment.

    Note: AI-specific investment subset of total; growing but not dominant yet

    Scoring basis Threshold applied. Raw value: 56250000 (USD/year). Raw value read from the evidence: "Ghanaian startups raised $450 million in 2024 (65% YoY increase). AI share estimated at 10–15% of total." [derived: 12.5% (midpoint) x $450M; Aya Data alone $9. Listed for second-edition review: The raw value applies an estimated AI share of 10 to 15% to total startup funding. No AI-specific figure is published.

    Sources statsandmarketinsights.com (opens in a new tab)

  3. N5.3

    AI incubators/accelerators

    Score 3 / 4

    MEST Africa, Ghana Tech Lab, Impact Hub Accra, iSpace, and Meltwater are leading AI-friendly incubators/accelerators. At least 5–8 AI-focused or AI-relevant programmes.

    Note: Several active programmes; not all AI-exclusive

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

    Sources techlabari.com (opens in a new tab)

  4. N5.4

    Regulatory sandbox (AI)

    Score 2 / 4

    No AI-specific regulatory sandbox. Bank of Ghana operates a fintech regulatory sandbox that covers AI-enabled financial products. Emerging Technologies Agency proposed under draft bill.

    Note: Fintech sandbox active; AI-specific sandbox planned in Emerging Technologies Bill

    Sources iclg.com (opens in a new tab)

  5. N5.5

    Government AI procurement

    Score 2 / 4

    Government AI procurement exists informally. National AI Strategy signals preference for domestic solutions. No formal domestic preference procurement policy yet enacted.

    Note: Ad hoc procurement; formal framework under development

    Sources moc.gov.gh (opens in a new tab)

  6. N5.6

    AI safety evaluation capacity

    Score 2 / 4

    KNUST Responsible AI Lab conducts safety research. No government-accredited AI safety evaluation facility yet. Academic research capacity present.

    Note: Academic-level safety research; no accredited government facility

    Sources ecofinagency.com (opens in a new tab)

  7. N5.7

    ISO/IEC 42001 adoption

    Score 1 / 4

    No widespread ISO/IEC 42001 adoption documented. Some awareness among larger corporates and multinationals operating in Ghana.

    Note: Awareness level; pilot adoption not confirmed

    Sources regulations.ai (opens in a new tab)

  8. N5.8

    Standards body AI competency

    Score 2 / 4

    Ghana Standards Authority (GSA) exists. AI-specific technical committee not yet established but Digital Economy Policy 2024 signals intent to develop standards.

    Note: Standards body exists; AI working group not yet formalised

    Sources regulations.ai (opens in a new tab)

  9. N5.9

    AI risk assessment frameworks

    Score 2 / 4

    National AI Strategy includes risk assessment considerations. Bank of Ghana issues guidance on AI in fintech. No cross-sector mandatory framework yet.

    Note: Voluntary and sector-specific guidelines emerging

    Sources iclg.com (opens in a new tab)

  10. N5.10

    University-industry AI partnerships

    Score 3 / 4

    KNUST-industry partnerships active (e.g., with MTN, Vodafone Ghana). Responsible AI Lab collaborates with international partners. Ashesi University has corporate partnerships. Multiple formal MoUs documented.

    Note: Formal MoUs and joint programmes established

    Sources ecofinagency.com (opens in a new tab)

P6 · Weight 10% of composite

Ethics & Inclusion

1.90 / 4Emerging

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

  1. E6.1

    Algorithmic impact assessment

    Score 1 / 4

    No mandatory algorithmic impact assessments. National AI Strategy 2025–2035 recommends them. Emerging Technologies Bill may include provisions.

    Note: Voluntary guidelines mentioned in strategy; not mandatory

    Sources regulations.ai (opens in a new tab)

  2. E6.2

    Bias audit requirements

    Score 1 / 4

    No bias audit requirements. National AI Strategy acknowledges algorithmic bias risks (especially for healthcare AI trained on non-Ghanaian data). Voluntary guidance only.

    Note: Risk acknowledged; mandatory requirements not yet established

    Sources myjoyonline.com (opens in a new tab)

  3. E6.3

    Transparency obligations

    Score 2 / 4

    National AI Strategy requires safe and transparent AI development. Emerging Technologies Bill includes transparency provisions for AI, blockchain, IoT. Sector-specific guidance from Bank of Ghana exists.

    Note: Sector-specific and voluntary transparency requirements; no cross-sector mandate

    Sources regulations.ai (opens in a new tab)

  4. E6.4

    Citizen redress mechanism

    Score 2 / 4

    Citizens can file complaints with DPC under Data Protection Act. No dedicated AI complaint channel. Emerging Technologies Agency would handle AI grievances once established.

    Note: DPC complaint mechanism exists; no AI-specific channel yet

    Sources digitalpolicyalert.org (opens in a new tab)

  5. E6.5

    Judicial AI remedy

    Score 2 / 4

    Ghanaian courts can hear cases involving digital harms under existing law. No specialist AI tribunal. Emerging case law developing.

    Note: Existing jurisdiction applies; no specialist tribunal

    Sources dataguidance.com (opens in a new tab)

  6. E6.6

    AI advisory body diversity

    Score 2 / 4

    National AI Strategy stakeholder consultations included diverse representation. However, formal diversity requirements for advisory bodies not yet codified. RAI Office composition not specified.

    Note: Some diversity in consultations; formal diversity requirements lacking

    Sources moc.gov.gh (opens in a new tab)

  7. E6.7

    Global AI governance participation

    Score 3 / 4

    Ghana actively participates in UNESCO AI governance processes, AU Continental AI Strategy, and has conducted study tours to benchmark global frameworks. Ministry of Communications leads engagement.

    Note: Active participant; no formal leadership role yet

    Sources babl.ai (opens in a new tab)

  8. E6.8

    Civil society AI engagement

    Score 2 / 4

    Stakeholder Consultation Forum held during strategy development. Civil society organisations consulted. No ongoing formal advisory mechanism established yet.

    Note: Formal consultation during strategy development; ongoing mechanism not codified

    Sources moc.gov.gh (opens in a new tab)

  9. E6.9

    African ethical framework reference

    Score 2 / 4

    National AI Strategy references inclusive growth and digital sovereignty as African values. Ubuntu-style principles not explicitly named but inclusive/human-centred framing present throughout.

    Note: African values substantively referenced; Ubuntu not explicitly named

    Sources moc.gov.gh (opens in a new tab)

  10. E6.10

    Youth participation

    Score 2 / 4

    One Million Coders Program explicitly targets youth. Girls-in-ICT program provides gender-focused pathways. No formal decision-making role for youth in AI governance yet.

    Note: Youth programmes active; advisory/decision role not formalised

    Sources moc.gov.gh (opens in a new tab)

P7 · Weight 10% of composite

Regional Integration

2.20 / 4Developing

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 3 / 4

    Ghana's National AI Strategy explicitly references AU Continental AI Strategy alignment. UNESCO collaboration formalised. Alignment process is active.

    Note: Alignment process active; formal certification of full alignment pending

    Sources regulations.ai (opens in a new tab)

  2. R7.2

    Kigali Declaration endorsement

    Score 3 / 4

    No specific reference to Kigali AI Declaration endorsement found. Ghana attends AU summits. Kigali Declaration (AI-specific) status unconfirmed.

    Note: Requires verification with Ministry of Communications

    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 3 / 4

    Ghana is active in ECOWAS AI/digital governance coordination. ECOWAS Supplementary Act on Personal Data applies. Ghana hosted AU Mid-Year Coordination Meeting in Accra in July 2024.

    Note: Active ECOWAS participant; digital governance coordination growing

    Sources mofep.gov.gh (opens in a new tab)

  4. R7.4

    Cross-border AI agreements

    Score 2 / 4

    No dedicated bilateral AI governance agreements documented. Digital economy cooperation exists with UK, EU, and US. UNESCO MoU on AI governance in place.

    Note: Bilateral digital/tech agreements exist; AI-specific agreements limited

    Sources babl.ai (opens in a new tab)

  5. R7.5

    Election integrity AI provisions

    Score 2 / 4

    Cyber Security Act 2020 and National Cybersecurity Policy 2024 address some election integrity concerns. Specific AI-in-elections provisions not yet enacted. CSA issued guidance ahead of 2024 elections.

    Note: CSA guidance issued; dedicated AI/elections legislation not yet in place

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

  6. R7.6

    Disinformation response framework

    Score 2 / 4

    Cyber Security Authority (CSA) has institutional framework for disinformation response. National Cybersecurity Policy 2024 includes provisions. No dedicated AI-disinformation legislation yet.

    Note: Institutional framework exists; AI-specific legislative framework not yet enacted

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

  7. R7.7

    AI election incidents documented

    Score 1 / 4

    No documented AI-related election interference incidents in Ghana's 2024 general elections. CSA monitored digital threats. Electoral Commission engaged on misinformation.

    Note: No confirmed incidents; monitoring conducted

    Scoring basis Threshold applied. Raw value: 1 (rule band). Scored on documented institutional response, not incident count.

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

  8. R7.8

    Platform content moderation

    Score 2 / 4

    National Communications Authority (NCA) engages with platforms on content moderation. No formal AI-specific content moderation requirements for platforms operating in Ghana.

    Note: Informal dialogue stage; formal requirements not established

    Sources dataguidance.com (opens in a new tab)

  9. R7.9

    Geneva Dialogue participation

    Score 2 / 4

    Ghana Ministry of Communications has participated in UN-level digital governance discussions. Planned participation in July 2026 Geneva Dialogue not confirmed.

    Note: Active internationally; specific Geneva Dialogue participation unconfirmed

    Sources babl.ai (opens in a new tab)

  10. R7.10

    G20/multilateral AI engagement

    Score 2 / 4

    Ghana participates in Commonwealth digital forums and engages bilaterally with UK, US, and EU on AI. Not a G20 member but engages through AU and ECOWAS channels.

    Note: Observer/participant through AU/ECOWAS multilateral channels

    Sources babl.ai (opens in a new tab)

P8 · Weight 10% of composite

Implementation & Impact

1.60 / 4Emerging

Mean of all 10 indicator scores. West Africa mean 0.63 · all 54 states mean 0.78.

  1. M8.1

    AI governance budget disbursed

    Score 1 / 4

    National AI Fund of GH¢5 billion committed but disbursement mechanisms not yet established. $250m AI computing centre in procurement phase. No independently verified disbursement figures available as of June 2026.

    Note: Committed but not yet disbursed; fund establishment underway

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

    Sources ghanafact.com (opens in a new tab)

  2. M8.2

    Health AI regulation

    Score 2 / 4

    No AI-specific health regulation enacted. National AI Strategy identifies healthcare as priority sector. Ghana Health Service and Food and Drugs Authority not yet issued AI guidance.

    Note: Under discussion; mPharma and other healthtech firms operating under general framework

    Sources regulations.ai (opens in a new tab)

  3. M8.3

    Health AI devices approved

    Score 1 / 4

    No formal AI health device approval framework. Food and Drugs Authority (FDA Ghana) regulates medical devices under general framework but no AI-specific pathway.

    Note: Nascent; general FDA framework applies

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

    Sources regulations.ai (opens in a new tab)

  4. M8.4

    Government AI system registry

    Score 1 / 4

    No government registry of AI systems in use. National AI Strategy proposes governance mechanisms but registry not yet established.

    Note: Planned; not yet operational

    Sources dig.watch (opens in a new tab)

  5. M8.5

    AI governance M&E reports

    Score 0 / 4

    National AI Strategy 2025–2035 is the primary governance document; no published M&E reports on implementation outcomes yet. Strategy launched April 2026.

    Note: No M&E reports yet; strategy too recently launched

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

    Sources moc.gov.gh (opens in a new tab)

  6. M8.6

    Agriculture AI governance

    Score 2 / 4

    National AI Strategy identifies agriculture as a key sector (crop health prediction, supply chain, climate resilience). Farmerline and AgroCenta operating. No sector-specific AI agriculture legislation.

    Note: Under discussion within AI strategy; no enacted guidelines yet

    Sources statsandmarketinsights.com (opens in a new tab)

  7. M8.7

    Financial services AI governance

    Score 3 / 4

    Bank of Ghana's Fintech sandbox regulates AI-enabled financial services. Digital Financial Services Policy provides framework. Cyber Security Act covers AI in financial digital ecosystem. Enforcement actions taken against non-compliant fintechs.

    Note: Most developed sector-specific AI governance in Ghana

    Sources iclg.com (opens in a new tab)

  8. M8.8

    Education AI governance

    Score 2 / 4

    Ministry of Education has not formally adopted an AI in Education policy. National AI Strategy references personalised learning use cases. One Million Coders Program addresses digital skills.

    Note: Under discussion; no adopted education AI policy

    Sources moc.gov.gh (opens in a new tab)

  9. M8.9

    Measurable governance outcomes

    Score 2 / 4

    Documented AI deployments: Farmerline (150,000+ farmers), mPharma (medicine access), Mino Health (diagnostics), Ghana Revenue Authority (fraud detection). Outcomes anecdotal rather than systematic.

    Note: Positive outcomes documented case-by-case; systematic governance tracking not yet in place

    Sources techlabari.com (opens in a new tab)

  10. M8.10

    WHO AI health guidance adoption

    Score 2 / 4

    Ghana's National AI Strategy references WHO-aligned ethical principles including non-discrimination, transparency, and human agency. No formal instrument confirming adoption of WHO Ethics and Governance of AI for Health guidance.

    Note: Alignment process underway; formal adoption not yet documented

    Sources dig.watch (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: Ghana. Africa AI Governance Index 2026, version 1.2, 7 October 2026. https://www.aipolicy.africa/country-profiles/ghana