Africa AI Governance Index 2026 · Country profile on AI governance

Country Profile on AI Governance: Madagascar

Madagascar scores 0.63 out of 4 on the Africa AI Governance Index 2026. It sits in the Nascent tier and ranks 47 of 54 states.

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

Madagascar 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)
32.0 million
Region
East Africa
Regional economic communities
Southern African Development Community, Common Market for Eastern and Southern Africa
Geography
Coastal, 5 international submarine cable systems in service

Governance status

  • National AI strategy S1.1

    0 / 4

  • Data protection law G2.2

    4 / 4

  • AI regulatory body G2.5

    0 / 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

Madagascar scores 0.63 out of 4 on the Africa AI Governance Index 2026. It sits in the Nascent tier and ranks 47 of 54 states. The score rests on 78 of 80 indicators scored from the fellow country profile. The strongest pillar is Infrastructure & Data (1.11). The weakest is Implementation & Impact (0.00). The East Africa mean is 1.30. The mean for all 54 states is 1.33.

Strongest pillar
Infrastructure & Data1.11 / 4Emerging
Weakest pillar
Implementation & Impact0.00 / 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 Madagascar's eight pillar scores out of 4, compared with the East Africa mean and the mean of all 54 states. The same figures are listed beside each bar and in the table below.
  • Madagascar score
  • East Africa mean
  • All 54 states mean
  1. P1Strategy & Vision
    0.60Nascent

    East Africa: 1.56
    All 54 states: 1.76

  2. P2Governance & Regulation
    0.80Nascent

    East Africa: 1.28
    All 54 states: 1.32

  3. P3Infrastructure & Data
    1.11Emerging

    East Africa: 1.54
    All 54 states: 1.51

  4. P4Human Capital
    0.80Nascent

    East Africa: 1.18
    All 54 states: 1.20

  5. P5Innovation & Ecosystem
    0.30Nascent

    East Africa: 0.97
    All 54 states: 1.05

  6. P6Ethics & Inclusion
    0.44Nascent

    East Africa: 1.16
    All 54 states: 1.26

  7. P7Regional Integration
    0.60Nascent

    East Africa: 1.54
    All 54 states: 1.55

  8. P8Implementation & Impact
    0.00Nascent

    East Africa: 0.94
    All 54 states: 0.78

  9. Composite (weighted)
    0.63Nascent

    East Africa: 1.30
    All 54 states: 1.33

View the pillar scores as a table
Madagascar pillar scores on the Africa AI Governance Index 2026
PillarBasisWeightScore (0–4)MaturityEast Africa meanAfrica mean
P1 Strategy & VisionMean of 10/10 indicators15%0.60Nascent1.561.76
P2 Governance & RegulationMean of 10/10 indicators15%0.80Nascent1.281.32
P3 Infrastructure & DataMean of 9/10 indicators15%1.11Emerging1.541.51
P4 Human CapitalMean of 10/10 indicators15%0.80Nascent1.181.20
P5 Innovation & EcosystemMean of 10/10 indicators10%0.30Nascent0.971.05
P6 Ethics & InclusionMean of 9/10 indicators10%0.44Nascent1.161.26
P7 Regional IntegrationMean of 10/10 indicators10%0.60Nascent1.541.55
P8 Implementation & ImpactMean of 10/10 indicators10%0.00Nascent0.940.78
Composite (weighted)—100%0.63Nascent1.301.33
Country report

What the scores say about Madagascar

Madagascar scores 0.63 out of 4 on the composite, which places it in the Nascent tier at rank 47 of 54. The profile carries a score on 78 of 80 indicators. Infrastructure and Data is the strongest pillar at 1.11 and Implementation and Impact is the weakest at 0.00. The composite is below the East Africa mean of 1.30 and the Africa mean of 1.33. Seven of the eight pillars sit in the Nascent tier. The evidence shows a data protection law and Malabo Convention ratification at the maximum score of 4, set against a score of 0 for a national artificial intelligence strategy and for all 10 implementation indicators.

P1Strategy & Vision0.60 / 4Nascent

Strategy and Vision scores 0.60 (Nascent), with all 10 indicators scored. The two highest scores are 2 each, for alignment with the African Union Continental AI Strategy (S1.5) and for sector prioritisation (S1.7). The profile cites a United Nations Development Programme report on Madagascar for both and gives no further detail. Political commitment signals (S1.3) and a dedicated budget allocation (S1.4) score 1 each. The existence of a national strategy scores 0 (S1.1), as does its adoption date (S1.2). Multi-stakeholder consultation, an implementation roadmap, a monitoring and evaluation framework and a review mechanism all score 0, with no verified evidence found (S1.6, S1.8, S1.9, S1.10).

See the 10 indicators for Strategy & Vision

P2Governance & Regulation0.80 / 4Nascent

Governance and Regulation scores 0.80 (Nascent), with all 10 indicators scored. Two indicators carry the maximum score of 4. The first is data protection law status (G2.2), for which the profile cites the DLA Piper data protection page for Madagascar. The second is Malabo Convention ratification (G2.7), for which it cites the African Union status list for the Convention. The evidence gives links only and records no law title or date. The other 8 indicators score 0: legislation specific to artificial intelligence (G2.1), a mandate for the data protection authority (G2.3), authority staffing and budget (G2.4), a regulatory body (G2.5), an institutional design model (G2.6), enforcement actions (G2.8), extraterritorial provisions (G2.9) and an intellectual property framework (G2.10).

See the 10 indicators for Governance & Regulation

P3Infrastructure & Data1.11 / 4Emerging

Infrastructure and Data scores 1.11 (Emerging), with 9 of 10 indicators scored. Data centre count scores 3 (I3.1) and data centre capacity scores 2 (I3.2), both on the basis of a data centre market brief for Madagascar. Submarine cable landing points score 3, on a count of 5 cable systems (I3.3). International bandwidth scores 2, with the International Telecommunication Union DataHub cited (I3.4). Hyperscaler presence, computing access, data localisation provisions, a cross-border data flow framework and sovereign cloud initiatives all score 0 (I3.5, I3.6, I3.7, I3.8, I3.10). Foreign surveillance spending is a context flag and is not scored (I3.9). The link cited refers to a EUR 5m Predator spyware contract, which is not stated as AI-enabled.

See the 10 indicators for Infrastructure & Data

P4Human Capital0.80 / 4Nascent

Human Capital scores 0.80 (Nascent), with all 10 indicators scored. African language coverage in language technology scores 3, with a journal article cited (H4.10). Workforce training programmes score 2, on the basis of an Ecofin Agency report that Madagascar aims to train thousands of youth in digital skills by 2028 (H4.7). University programmes (H4.3) and school computer science education (H4.6) score 1 each. Publications score 1, on 11.3 papers a year across 31.96m people, or 0.35 per million (H4.4). Five indicators score 0: researchers per million (H4.1), data protection authority staff with AI competency (H4.2), patents filed (H4.5), a labour transition policy (H4.8) and an informal economy assessment (H4.9).

See the 10 indicators for Human Capital

P5Innovation & Ecosystem0.30 / 4Nascent

Innovation and Ecosystem scores 0.30 (Nascent), with all 10 indicators scored. Incubators and accelerators score 2, and the profile names UniPod, Habaka and Orange Digital Centre (N5.3). ISO/IEC 42001 adoption scores 1, with a certification provider's page cited (N5.7). The other 8 indicators score 0: a company count (N5.1), private investment (N5.2), a regulatory sandbox (N5.4), government procurement (N5.5), safety evaluation capacity (N5.6), standards body competency (N5.8), risk assessment frameworks (N5.9) and university-industry partnerships (N5.10). For the last of these the evidence lists UniPod, MESUPRES, a proposed International Institute of Applied Artificial Intelligence and AI for Public Health research, and the score is 0.

See the 10 indicators for Innovation & Ecosystem

P6Ethics & Inclusion0.44 / 4Nascent

Ethics and Inclusion scores 0.44 (Nascent), with 9 of 10 indicators scored. Global governance participation scores 3, with a concept note from the United Nations Global Dialogue on AI Governance cited (E6.7). A citizen redress mechanism scores 1 (E6.4). Seven indicators score 0: algorithmic impact assessment (E6.1), bias audit requirements (E6.2), transparency obligations (E6.3), advisory body diversity (E6.6), civil society engagement (E6.8), reference to an African ethical framework (E6.9) and youth participation (E6.10). A judicial remedy is not scored and is excluded from the pillar mean (E6.5). The fellow scored it 1, but the evidence reads 'No verified evidence found', and every score must rest on evidence.

See the 10 indicators for Ethics & Inclusion

P7Regional Integration0.60 / 4Nascent

Regional Integration scores 0.60 (Nascent), with all 10 indicators scored. Kigali Declaration endorsement scores 3: Madagascar is a signatory of the Africa Declaration on AI, done at Kigali on 4 April 2025 (R7.2). Regional coordination scores 2 (R7.3), and multilateral engagement scores 1, with an article on Madagascar joining BRICS cited (R7.10). African Union strategy alignment (R7.1), cross-border agreements (R7.4), election integrity provisions (R7.5), a disinformation response framework (R7.6), platform content moderation (R7.8) and Geneva Dialogue participation (R7.9) score 0. The score of 0 for election incidents is retained and under second-edition review, because the evidence cited says nothing about Madagascar (R7.7). Madagascar held a presidential election on 16 November 2023 and a parliamentary election on 29 May 2024.

See the 10 indicators for Regional Integration

P8Implementation & Impact0.00 / 4Nascent

Implementation and Impact scores 0.00 (Nascent), with all 10 indicators scored and every one at 0. No verified evidence was found of a disbursed governance budget (M8.1). The profile records no health regulation for artificial intelligence (M8.2), no approved health devices (M8.3), no government system registry (M8.4) and no monitoring and evaluation reports (M8.5). Sector governance scores 0 in agriculture (M8.6), financial services (M8.7) and education (M8.8). Measurable governance outcomes score 0 (M8.9), as does adoption of World Health Organization guidance on artificial intelligence for health (M8.10). The evidence for these rows names country profiles and trackers by title and gives no further detail.

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

0.60 / 4Nascent

Mean of all 10 indicator scores. East Africa mean 1.56 · all 54 states mean 1.76.

  1. S1.1

    National AI strategy existence

    Score 0 / 4

    https://responsibleai.africa/countries/madagascar?utm_source=chatgpt.com

  2. S1.2

    Strategy adoption date

    Score 0 / 4

    https://www.undp.org/sites/g/files/zskgke326/files/2025-12/dra_final_report_madagascar_vf_0.pdf

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

  3. S1.3

    Political commitment signals

    Score 1 / 4

    https://africanaigovernanceindex.com/tracker/mg?utm_source=chatgpt.com

  4. S1.4

    Dedicated AI budget allocation

    Score 1 / 4

    https://www.undp.org/sites/g/files/zskgke326/files/2025-12/dra_final_report_madagascar_vf_0.pdf

  5. S1.5

    AU Continental AI Strategy alignment

    Score 2 / 4

    https://www.undp.org/sites/g/files/zskgke326/files/2025-12/dra_final_report_madagascar_vf_0.pdf

  6. S1.6

    Multi-stakeholder consultation

    Score 0 / 4

    No verified evidence found

  7. S1.7

    Sector prioritisation

    Score 2 / 4

    https://www.undp.org/sites/g/files/zskgke326/files/2025-12/dra_final_report_madagascar_vf_0.pdf

  8. S1.8

    Implementation roadmap

    Score 0 / 4

    No verified evidence found

  9. S1.9

    Monitoring and evaluation framework

    Score 0 / 4

    No verified evidence found

  10. S1.10

    Strategy review mechanism

    Score 0 / 4

    No verified evidence found

P2 · Weight 15% of composite

Governance & Regulation

0.80 / 4Nascent

Mean of all 10 indicator scores. East Africa mean 1.28 · all 54 states mean 1.32.

  1. G2.1

    AI-specific legislation

    Score 0 / 4

    No verified evidence found

  2. G2.2

    Data protection law status

    Score 4 / 4

    https://www.dlapiperdataprotection.com/?c=MG&t=law&utm_source=chatgpt.com

  3. G2.3

    DPA AI mandate

    Score 0 / 4

    https://cnlegis.gov.mg/uploads/D2023-1541-VF.pdf?utm_source=chatgpt.com

  4. G2.4

    DPA staffing and budget

    Score 0 / 4

    No verified evidence found

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

  5. G2.5

    AI regulatory body existence

    Score 0 / 4

    No verified evidence found

  6. G2.6

    Institutional design model

    Score 0 / 4

    No verified evidence found

  7. G2.7

    Malabo Convention ratification

    Score 4 / 4

    https://au.int/sites/default/files/treaties/29560-sl-AFRICAN_UNION_CONVENTION_ON_CYBER_SECURITY_AND_PERSONAL_DATA_PROTECTION_0.pdf?utm_source=chatgpt.com

  8. G2.8

    Enforcement actions taken

    Score 0 / 4

    https://anuragverma.co/worldwatch/madagascar/ai?utm_source=chatgpt.com

  9. G2.9

    Extraterritorial provisions

    Score 0 / 4

    https://www.undp.org/sites/g/files/zskgke326/files/2025-12/dra_final_report_madagascar_vf_0.pdf

  10. G2.10

    IP framework for AI

    Score 0 / 4

    No verified evidence found

P3 · Weight 15% of composite

Infrastructure & Data

1.11 / 4Emerging

Mean of the 9 scored indicators; 1 carries no score. East Africa mean 1.54 · all 54 states mean 1.51.

No score: 1 context only.

  1. I3.1

    Data center count

    Score 3 / 4

    https://cms.d4dhub.eu/assets/Initiatives/Data-Governance-in-Africa/Digital-Investment-Facility/2507_Country-Market-Briefs/Data-Center-Market-Brief-Madagascar.pdf?utm_source=chatgpt.com

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

  2. I3.2

    Data center capacity (MW)

    Score 2 / 4

    https://cms.d4dhub.eu/assets/Initiatives/Data-Governance-in-Africa/Digital-Investment-Facility/2507_Country-Market-Briefs/Data-Center-Market-Brief-Madagascar.pdf?utm_source=chatgpt.com

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

  3. I3.3

    Submarine cable landing points

    Score 3 / 4

    https://geocables.com/locations/mg?utm_source=chatgpt.com

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

  4. I3.4

    International bandwidth (Gbps)

    Score 2 / 4

    https://datahub.itu.int/data/?i=242&utm_source=chatgpt.com

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

  5. I3.5

    Hyperscaler presence

    Score 0 / 4

    No verified evidence found

  6. I3.6

    GPU/HPC access

    Score 0 / 4

    No verified evidence found

  7. I3.7

    Data localisation provisions

    Score 0 / 4

    No verified evidence found

  8. I3.8

    Cross-border data flow framework

    Score 0 / 4

    https://cnlegis.gov.mg/page_acces_pdf/eoVdnWfpUcmXblY?utm_source=chatgpt.com

  9. I3.9

    Foreign AI surveillance spending

    Context only: Context flag outside the score

    https://www.lemonde.fr/afrique/article/2024/06/19/madagascar-et-predator-le-contrat-a-5-millions-d-euros_6241427_3212.html?utm_source=chatgpt.com

    Scoring basis Context flag; outside the score. Raw value read from the evidence: "madagascar-et-predator-le-contrat-a-5-millions-d-euros" [URL only; slug refers to EUR 5m Predator spyware contract (not stated as AI-enabled, not USD)].

  10. I3.10

    Sovereign cloud initiatives

    Score 0 / 4

    No verified evidence found

P4 · Weight 15% of composite

Human Capital

0.80 / 4Nascent

Mean of all 10 indicator scores. East Africa mean 1.18 · all 54 states mean 1.20.

  1. H4.1

    AI researchers per million

    Score 0 / 4

    https://ourworldindata.org/grapher/researchers-in-rd-per-million-people?utm_source=chatgpt.com

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

  2. H4.2

    DPA staff with AI competency

    Score 0 / 4

    No verified evidence found

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

  3. H4.3

    University AI programs

    Score 1 / 4

    https://www.toliara.org/must/?utm_source=chatgpt.com

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

  4. H4.4

    African-authored AI publications

    Score 1 / 4

    https://cat.eto.tech/?utm_source=chatgpt.com&expanded=Summary-metrics

    Scoring basis Threshold applied. 11.3 papers/yr ÷ 31.96m people = 0.35 per million (floors applied).

  5. H4.5

    AI patents filed

    Score 0 / 4

    https://cdn.ipstatsdc.deda.prd.web1.wipo.int/ipstats/ips-search/patent?utm_source=chatgpt.com

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

  6. H4.6

    K-12 CS education

    Score 1 / 4

    https://www.ibe.unesco.org/en/articles/madagascar-curriculum-alignement-evaluation-first-step-joint-construction-quality-education-all?utm_source=chatgpt.com

  7. H4.7

    AI workforce training programs

    Score 2 / 4

    https://www.ecofinagency.com/news-digital/3001-52436-madagascar-aims-to-train-thousands-of-youth-in-digital-skills-by-2028?utm_source=chatgpt.com

  8. H4.8

    Labour transition policy

    Score 0 / 4

    No verified evidence found

  9. H4.9

    Informal economy AI assessment

    Score 0 / 4

    https://www.undp.org/sites/g/files/zskgke326/files/2025-12/dra_final_report_madagascar_vf_0.pdf

  10. H4.10

    African language NLP coverage

    Score 3 / 4

    https://link.springer.com/article/10.1007/s10579-025-09900-w?utm_source=chatgpt.com

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

P5 · Weight 10% of composite

Innovation & Ecosystem

0.30 / 4Nascent

Mean of all 10 indicator scores. East Africa mean 0.97 · all 54 states mean 1.05.

  1. N5.1

    AI companies count

    Score 0 / 4

    https://www.undp.org/sites/g/files/zskgke326/files/2025-12/dra_final_report_madagascar_vf_0.pdf

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

  2. N5.2

    Private AI investment (USD)

    Score 0 / 4

    https://www.undp.org/sites/g/files/zskgke326/files/2025-12/dra_final_report_madagascar_vf_0.pdf

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

  3. N5.3

    AI incubators/accelerators

    Score 2 / 4

    UniPod, Habaka, Orange Digital Centre

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

  4. N5.4

    Regulatory sandbox (AI)

    Score 0 / 4

    https://anuragverma.co/worldwatch/madagascar/ai?utm_source=chatgpt.com

  5. N5.5

    Government AI procurement

    Score 0 / 4

    No verified evidence found

  6. N5.6

    AI safety evaluation capacity

    Score 0 / 4

    https://anuragverma.co/worldwatch/madagascar/ai?utm_source=chatgpt.com

  7. N5.7

    ISO/IEC 42001 adoption

    Score 1 / 4

    https://certmaxx.com/iso-42001-certification-in-madagascar/?utm_source=chatgpt.com

  8. N5.8

    Standards body AI competency

    Score 0 / 4

    https://www.bnm.mg/comite-technique-de-normalisation-ctn/?utm_source=chatgpt.com

  9. N5.9

    AI risk assessment frameworks

    Score 0 / 4

    https://anuragverma.co/worldwatch/madagascar/ai?utm_source=chatgpt.com

  10. N5.10

    University-industry AI partnerships

    Score 0 / 4

    UniPod, MESUPRES, International Institute of Applied Artificial Intelligence (proposed),AI for Public Health research

P6 · Weight 10% of composite

Ethics & Inclusion

0.44 / 4Nascent

Mean of the 9 scored indicators; 1 carries no score. East Africa mean 1.16 · all 54 states mean 1.26.

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

  1. E6.1

    Algorithmic impact assessment

    Score 0 / 4

    https://anuragverma.co/worldwatch/madagascar/ai?utm_source=chatgpt.com

  2. E6.2

    Bias audit requirements

    Score 0 / 4

    https://anuragverma.co/worldwatch/madagascar/ai?utm_source=chatgpt.com

  3. E6.3

    Transparency obligations

    Score 0 / 4

    https://anuragverma.co/worldwatch/madagascar/ai?utm_source=chatgpt.com

  4. E6.4

    Citizen redress mechanism

    Score 1 / 4

    https://anuragverma.co/worldwatch/madagascar/ai?utm_source=chatgpt.com

  5. E6.5

    Judicial AI remedy

    Not scored: Excluded from the pillar mean

    No verified evidence found

    Scoring basis Score without evidence; excluded from the pillar mean. Fellow scored 1 but the evidence reads "No verified evidence found"; every score must be supported by evidence.

  6. E6.6

    AI advisory body diversity

    Score 0 / 4

    No verified evidence found

  7. E6.7

    Global AI governance participation

    Score 3 / 4

    https://www.un.org/global-dialogue-ai-governance/sites/default/files/2026-04/paris_unesco_concept_note.pdf?utm_source=chatgpt.com

  8. E6.8

    Civil society AI engagement

    Score 0 / 4

    https://responsibleai.africa/countries/madagascar?utm_source=chatgpt.com

  9. E6.9

    African ethical framework reference

    Score 0 / 4

    https://link.springer.com/article/10.1007/s10676-025-09834-5?utm_source=chatgpt.com

  10. E6.10

    Youth participation

    Score 0 / 4

    https://responsibleai.africa/countries/madagascar?utm_source=chatgpt.com

P7 · Weight 10% of composite

Regional Integration

0.60 / 4Nascent

Mean of all 10 indicator scores. East Africa mean 1.54 · all 54 states mean 1.55.

  1. R7.1

    AU AI Strategy alignment

    Score 0 / 4

    African AI Governance Index. Madagascar Country Tracker.

  2. R7.2

    Kigali Declaration endorsement

    Score 3 / 4

    https://services.nwu.ac.za/sites/services.nwu.ac.za/files/files/ai/Africa-Declaration-on-Artificial-Intelligence%202025.pdf?utm_source=chatgpt.com

    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

    https://africanaigovernanceindex.com/tracker/mg?utm_source=chatgpt.com

  4. R7.4

    Cross-border AI agreements

    Score 0 / 4

    No verified evidence found

  5. R7.5

    Election integrity AI provisions

    Score 0 / 4

    No verified evidence found

  6. R7.6

    Disinformation response framework

    Score 0 / 4

    https://www.ecofinagency.com/news-digital/1806-56594-madagascar-considers-law-to-regulate-social-media-amid-disinformation-concerns?utm_source=chatgpt.com

  7. R7.7

    AI election incidents documented

    Score 0 / 4

    Walker, C. P., Schiff, D. S., & Schiff, K. J. (2024). Merging AI Incidents Research with Political Misinformation Research: Introducing the Political Deepfakes Incidents Database.

    Scoring basis Threshold applied. Raw value: 0 (rule band). Scored on documented institutional response, not incident count. Raw value read from the evidence: "No verified evidence found" [R7.5; R7.7 cites only a database paper; R7.6 URL: social media law under consideration; incidents: not stated]. Listed for second-edition review: The evidence is a citation to a general database paper and says nothing about Madagascar. A score of 0 asserts no response capacity, which the evidence does not show.

  8. R7.8

    Platform content moderation

    Score 0 / 4

    No verified evidence found

  9. R7.9

    Geneva Dialogue participation

    Score 0 / 4

    https://www.un.org/global-dialogue-ai-governance/sites/default/files/2026-06/guidance_note_on_the_speakers_registration_and_delivery_of_statements.pdf?utm_source=chatgpt.com

  10. R7.10

    G20/multilateral AI engagement

    Score 1 / 4

    https://madagasikara.fr/madagascar-rejoindre-brics/?utm_source=chatgpt.com

P8 · Weight 10% of composite

Implementation & Impact

0.00 / 4Nascent

Mean of all 10 indicator scores. East Africa mean 0.94 · all 54 states mean 0.78.

  1. M8.1

    AI governance budget disbursed

    Score 0 / 4

    No verified evidence found

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

  2. M8.2

    Health AI regulation

    Score 0 / 4

    African AI Governance Index (AAGI). Madagascar AI Governance Profile (2026).

  3. M8.3

    Health AI devices approved

    Score 0 / 4

    AUDA-NEPAD. White Paper on Artificial Intelligence in Medical Product Regulatory Work and Regulation of AI-Based Medical Products in Africa (2026).

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

  4. M8.4

    Government AI system registry

    Score 0 / 4

    African AI Governance Index. Madagascar Country Tracker (2026).

  5. M8.5

    AI governance M&E reports

    Score 0 / 4

    African AI Governance Index (AAGI). Madagascar AI Governance Profile (2026).

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

  6. M8.6

    Agriculture AI governance

    Score 0 / 4

    Anurag Verma. AI Regulation in Madagascar: Laws & Policy (2026).

  7. M8.7

    Financial services AI governance

    Score 0 / 4

    Responsible AI Africa. Madagascar Country Profile (2026).

  8. M8.8

    Education AI governance

    Score 0 / 4

    Responsible AI Africa. Madagascar Country Profile (2026).

  9. M8.9

    Measurable governance outcomes

    Score 0 / 4

    Responsible AI Africa. Madagascar Country Profile (2026).

  10. M8.10

    WHO AI health guidance adoption

    Score 0 / 4

    https://apps.who.int/gb/ebwha/pdf_files/EB158/B158_19-en.pdf?utm_source=chatgpt.com

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: Madagascar. Africa AI Governance Index 2026, version 1.2, 7 October 2026. https://www.aipolicy.africa/country-profiles/madagascar