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).
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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).
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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).
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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).
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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).
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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).
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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).
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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).
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