Africa AI Governance Index 2026 · Country profile on AI governance

Country Profile on AI Governance: Benin

Benin scores 2.58 out of 4 on the Africa AI Governance Index 2026. It sits in the Developing tier and ranks 3 of 54 states.

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

Benin at a glance

How to read this profile

Indicator evidence in this factsheet comes from desk research in October 2026. Fellows have not verified it and it did not inform the score.

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

Country

Population (2024)
14.5 million
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

    Adoptednot scored

  • Data protection law G2.2

    Enforced with DPAnot scored

  • AI regulatory body G2.5

    Not determinednot scored

  • Malabo Convention ratification G2.7

    Ratifiednot scored

  • Kigali Declaration endorsement R7.2

    Endorsednot scored

Headline assessment

Benin scores 2.58 out of 4 on the Africa AI Governance Index 2026. It sits in the Developing tier and ranks 3 of 54 states. The eight pillar scores are fellow-assigned values from the Regional Summary. Indicators are not scored individually. The strongest pillar is Strategy & Vision (4.00). The weakest is Implementation & Impact (1.50). The West Africa mean is 1.27. The mean for all 54 states is 1.33.

Strongest pillar
Strategy & Vision4.00 / 4Established
Weakest pillar
Implementation & Impact1.50 / 4Emerging

Indicators scored: Pillar level only (fellow-assigned)

Pillar scores

Pillar scores at a glance

Each pillar is scored from 0 to 4. Benin's eight pillar scores are fellow-assigned values; indicators are not scored individually.

Bar chart of Benin'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.
  • Benin score
  • West Africa mean
  • All 54 states mean
  1. P1Strategy & Vision
    4.00Established

    West Africa: 1.70
    All 54 states: 1.76

  2. P2Governance & Regulation
    2.50Developing

    West Africa: 1.18
    All 54 states: 1.32

  3. P3Infrastructure & Data
    2.40Developing

    West Africa: 1.40
    All 54 states: 1.51

  4. P4Human Capital
    2.20Developing

    West Africa: 1.14
    All 54 states: 1.20

  5. P5Innovation & Ecosystem
    2.10Developing

    West Africa: 1.04
    All 54 states: 1.05

  6. P6Ethics & Inclusion
    2.40Developing

    West Africa: 1.21
    All 54 states: 1.26

  7. P7Regional Integration
    3.10Established

    West Africa: 1.66
    All 54 states: 1.55

  8. P8Implementation & Impact
    1.50Emerging

    West Africa: 0.63
    All 54 states: 0.78

  9. Composite (weighted)
    2.58Developing

    West Africa: 1.27
    All 54 states: 1.33

View the pillar scores as a table
Benin pillar scores on the Africa AI Governance Index 2026
PillarBasisWeightScore (0–4)MaturityWest Africa meanAfrica mean
P1 Strategy & VisionFellow-assigned15%4.00Established1.701.76
P2 Governance & RegulationFellow-assigned15%2.50Developing1.181.32
P3 Infrastructure & DataFellow-assigned15%2.40Developing1.401.51
P4 Human CapitalFellow-assigned15%2.20Developing1.141.20
P5 Innovation & EcosystemFellow-assigned10%2.10Developing1.041.05
P6 Ethics & InclusionFellow-assigned10%2.40Developing1.211.26
P7 Regional IntegrationFellow-assigned10%3.10Established1.661.55
P8 Implementation & ImpactFellow-assigned10%1.50Emerging0.630.78
Composite (weighted)—100%2.58Developing1.271.33
Country report

What the scores say about Benin

Benin has a composite score of 2.58 out of 4, in the Developing tier, at rank 3 of 54. The composite sits above the West Africa mean of 1.27 and the Africa mean of 1.33. The eight pillar scores are fellow-assigned values from the Regional Summary, and indicators are not scored. Strategy and Vision is the strongest pillar at 4.00 and Implementation and Impact is the weakest at 1.50. Desk research in October 2026, which fellows have not verified and which did not inform the scores, found a national AI and big data strategy approved by the Council of Ministers on 18 January 2023. It also found a Digital Code with a data protection authority, and no published implementation report.

P1Strategy & Vision4.00 / 4Established

Strategy and Vision scores 4.00, in the Established tier, a fellow-assigned value. Desk research in October 2026 found that the Council of Ministers approved the National Strategy for AI and Big Data 2023 to 2027 on 18 January 2023, with 4 programmes and 123 actions over three phases (S1.1, S1.2). The Ministry of Digital Affairs and Digitalisation supervises implementation (S1.3). Priority sectors are education, health, agriculture, living environment and tourism (S1.7). The strategy provides for annual evaluations, but no published monitoring report or completed review was found (S1.9, S1.10). The strategy puts financing at 4.68 billion FCFA, with no evidence of a ring-fenced appropriation (S1.4). Alignment with the African Union Continental AI Strategy was not determined (S1.5).

See the 10 indicators for Strategy & Vision

P2Governance & Regulation2.50 / 4Developing

Governance and Regulation scores 2.50, in the Developing tier, a fellow-assigned value. Desk research in October 2026 found that Book V of the 2017 Digital Code and Law No. 2009-09 govern personal data, with the Autorite de Protection des Donnees Personnelles appointed (G2.2). The African Union status list dated 2 February 2026 records that Benin signed the Malabo Convention on 28 January 2015, ratified it on 14 May 2024 and deposited on 12 November 2024 (G2.7). The data protection regime applies to foreign entities (G2.9). The research did not determine any AI-specific law, AI oversight mandate for the authority, dedicated AI governance body or AI-related enforcement action (G2.1, G2.3, G2.5, G2.8).

See the 10 indicators for Governance & Regulation

P3Infrastructure & Data2.40 / 4Developing

Infrastructure and Data scores 2.40, in the Developing tier, a fellow-assigned value. Desk research in October 2026 found 1 data centre facility listed in the Data Center Map directory (I3.1) and 1 cable landing point, Cotonou, carrying 3 international cable systems (I3.3). The national data centre, intended to host all State information systems, was inaugurated on 1 June 2021 (I3.10). The Digital Code permits transfers only to countries ensuring adequate protection, or with authorisation from the data protection authority (I3.8). The research confirmed that no hyperscaler cloud region exists in Benin (I3.5). It did not determine data centre power capacity, international bandwidth, GPU or high-performance computing capacity, or an in-country storage mandate (I3.2, I3.4, I3.6, I3.7).

See the 10 indicators for Infrastructure & Data

P4Human Capital2.20 / 4Developing

Human Capital scores 2.20, in the Developing tier, a fellow-assigned value. Desk research in October 2026 found 34 AI scholarly publications for 2024 in the CSET Country Activity Tracker, against 32 in 2023 (H4.4). The language lists checked support Fon and Yoruba, with partial support for Fulfulde, and do not list Bariba or Dendi (H4.10). The national strategy provides for capacity-building programmes, subject to feasibility studies approved on 8 November 2023 (H4.7). A feasibility study on programming and AI training in schools was approved the same day, with no implementation found (H4.6). The research did not determine AI researchers per million, university AI programmes, AI patent filings or any labour transition framework (H4.1, H4.3, H4.5, H4.8).

See the 10 indicators for Human Capital

P5Innovation & Ecosystem2.10 / 4Developing

Innovation and Ecosystem scores 2.10, in the Developing tier, a fellow-assigned value. Desk research in October 2026 found that the standards body, ANM, is one of 24 observing members of ISO/IEC JTC 1/SC 42, the AI committee, with no voting role (N5.7, N5.8). No ISO/IEC 42001 certification or national adoption was found, and no dedicated national AI technical committee was verified (N5.7, N5.8). The other 8 indicators were not determined. The research could not read a count of AI companies (N5.1) and found no AI-specific investment figure (N5.2). It identified no AI-focused incubator count, regulatory sandbox, AI procurement rule, safety evaluation facility, risk assessment framework or university-industry AI partnership (N5.3, N5.4, N5.5, N5.6, N5.9, N5.10).

See the 10 indicators for Innovation & Ecosystem

P6Ethics & Inclusion2.40 / 4Developing

Ethics and Inclusion scores 2.40, in the Developing tier, a fellow-assigned value. Desk research in October 2026 found that Article 428 of the Digital Code requires a data protection impact analysis before high-risk processing, not an AI-specific assessment (E6.1). Article 401 bars decisions with legal effects taken solely on automated processing that evaluates aspects of personality (E6.3, E6.4). Benin is a Member State of the United Nations Educational, Scientific and Cultural Organization, whose 193 Member States adopted the Recommendation on the Ethics of AI in 2021 (E6.7). A text search confirmed that the national strategy makes no reference to Ubuntu or African ethical values (E6.9). Bias audit requirements, civil society engagement and court remedies were not determined (E6.2, E6.8, E6.5).

See the 10 indicators for Ethics & Inclusion

P7Regional Integration3.10 / 4Established

Regional Integration scores 3.10, in the Established tier, a fellow-assigned value. Desk research in October 2026 found Benin on the official signatory list of the Africa Declaration on Artificial Intelligence, done at Kigali on 4 April 2025 (R7.1, R7.2). Article 576 of the Digital Code punishes unauthorised use of AI to modify, generate or disseminate a person's image with up to 5 years in prison and fines up to FCFA 25 million, and is not election-specific (R7.6). Benin is a member of the Economic Community of West African States, with no part in regional AI coordination documented (R7.3). The research did not determine cross-border AI agreements, election provisions, Geneva Dialogue participation or multilateral AI engagement (R7.4, R7.5, R7.9, R7.10).

See the 10 indicators for Regional Integration

P8Implementation & Impact1.50 / 4Emerging

Implementation and Impact scores 1.50, in the Emerging tier, a fellow-assigned value and the lowest of the eight pillars. Desk research in October 2026 did not determine any of the 10 indicators. The national strategy carries an estimated budget of USD 7.8 m, and no disbursement data was found (M8.1). No monitoring report on the strategy was located (M8.5), and no government AI registry was found (M8.4). The strategy targets health, agriculture and education, but the research found no health-specific AI regulation, no agriculture-specific AI governance provisions and no education-ministry AI guidance (M8.2, M8.6, M8.8). No AI guidance from the Central Bank of West African States was located (M8.7). No documented AI-related protective outcome was found (M8.9).

See the 10 indicators for Implementation & Impact

Indicator evidence

Evidence by pillar

Desk-research evidence for each indicator, with sources. Where an indicator is marked “Not determined”, the research could not establish a finding. The Index method excludes such indicators from scoring rather than scoring them as absent.

P1 · Weight 15% of composite

Strategy & Vision

4.00 / 4Established

Fellow-assigned pillar score. Indicators not scored. West Africa mean 1.70 · all 54 states mean 1.76.

10 indicators: 8 evidence found, 0 confirmed absence, 2 not determined.

  1. S1.1

    National AI strategy existence

    Evidence found

    Adopted: The Council of Ministers approved the 'Strategie nationale d'intelligence artificielle et des megadonnees 2023-2027' (SNIAM) on 18 Jan 2023. It has 4 programmes and 123 actions over three phases; no 2026 implementation report was found.

    Sources sgg.gouv.bj (opens in a new tab)asin.bj (opens in a new tab)

  2. S1.2

    Strategy adoption date

    Evidence found

    2023-01: Approved by the Council of Ministers on 18 January 2023 (official Council communique).

    Sources sgg.gouv.bj (opens in a new tab)

  3. S1.3

    Political commitment signals

    Evidence found

    Institutional action: Formal adoption by the Council of Ministers on 18 Jan 2023, with the Ministry of Digital Affairs and Digitalisation designated to supervise implementation.

    Sources sgg.gouv.bj (opens in a new tab)asin.bj (opens in a new tab)

  4. S1.4

    Dedicated AI budget allocation

    Not determined

    The strategy document puts total financing for 2023-2027 at 4.68 billion FCFA, to be drawn from the state, private sector, bilateral/multilateral partners and PPPs. No evidence was found that this amount is a ring-fenced budget appropriation.

    Sources asin.bj (opens in a new tab)droitmediasfinance.com (opens in a new tab)

  5. S1.5

    AU Continental AI Strategy alignment

    Not determined

    The Jan 2023 strategy predates the AU Continental AI Strategy (Jul 2024) and references the AU Digital Transformation Strategy 2020-2030 and Smart Africa; no update aligning it to the AU AI strategy was found.

    Sources asin.bj (opens in a new tab)

  6. S1.6

    Multi-stakeholder consultation

    Evidence found

    Formal consultation: The Council of Ministers communique (18 Jan 2023) states the strategy was developed through an approach integrating stakeholders, and the strategy document describes cross-ministerial governance. The specific civil society, academic and private-sector participants are not itemised.

    Sources sgg.gouv.bj (opens in a new tab)asin.bj (opens in a new tab)

  7. S1.7

    Sector prioritisation

    Evidence found

    Specific sectors with targets: Priority sectors are education, health, agriculture, living environment (cadre de vie) and tourism, with sector use cases such as drone-based crop disease detection, yield forecasting and medical-imaging diagnostics across 123 actions (2023).

    Sources sgg.gouv.bj (opens in a new tab)asin.bj (opens in a new tab)

  8. S1.8

    Implementation roadmap

    Evidence found

    Phased plan: Three implementation phases over five years: year 1 deploys prioritised use cases, years 2-3 scale up and operationalise data management, years 4-5 consolidate regional leadership. Implementation runs through sectoral commissions and project pilot committees.

    Sources asin.bj (opens in a new tab)sgg.gouv.bj (opens in a new tab)

  9. S1.9

    Monitoring and evaluation framework

    Evidence found

    Planned: The strategy provides for annual evaluations against objectives with performance indicators across domains. No published monitoring report was found as of Oct 2026.

    Sources asin.bj (opens in a new tab)

  10. S1.10

    Strategy review mechanism

    Evidence found

    Scheduled review: The strategy provides for annual evaluations with adjustment of work-package scope. No completed review or update of the 2023-2027 strategy was found.

    Sources asin.bj (opens in a new tab)

P2 · Weight 15% of composite

Governance & Regulation

2.50 / 4Developing

Fellow-assigned pillar score. Indicators not scored. West Africa mean 1.18 · all 54 states mean 1.32.

10 indicators: 3 evidence found, 0 confirmed absence, 7 not determined.

  1. G2.1

    AI-specific legislation

    Not determined

    The Council of Ministers approved the National Strategy for AI and Big Data (SNIAM) 2023-2027 on 18 January 2023, with a budget of USD 7.8 million. No AI-specific bill or law was identified; the Digital Code (2017) gives a right not to be subject to decisions based solely on automated processing.

    Sources wearetech.africa (opens in a new tab)dataprotection.africa (opens in a new tab)

  2. G2.2

    Data protection law status

    Evidence found

    Enforced with DPA: Personal data protection is governed by Book V of the 2017 Digital Code of Benin and Law No. 2009-09, with the Autorite de Protection des Donnees Personnelles (APDP) appointed. Rights include objection to processing and the right not to be subject to solely automated decisions producing significant risks.

    Sources dataprotection.africa (opens in a new tab)

  3. G2.3

    DPA AI mandate

    Not determined

    The APDP exists and the Digital Code covers automated processing and automated decision-making (dataprotection.africa, May 2022). No explicit AI oversight mandate or AI-specific guidance by the APDP was located.

    Sources dataprotection.africa (opens in a new tab)

  4. G2.4

    DPA staffing and budget

    Not determined

    Published DPA staff count and annual budget were not located in this desk review (October 2026). dataprotection.africa (May 2022) records 11 APDP members with maximum terms of 10 years.

    Sources dataprotection.africa (opens in a new tab)

  5. G2.5

    AI regulatory body existence

    Not determined

    No dedicated AI governance body or council for Benin was located in this review; the SNIAM 2023-2027 was approved by the Council of Ministers in January 2023.

    Sources wearetech.africa (opens in a new tab)

  6. G2.6

    Institutional design model

    Not determined

    No source reviewed defines Benin's regulatory model for AI; the APDP regulates personal data, including automated processing, under the Digital Code.

    Sources dataprotection.africa (opens in a new tab)

  7. G2.7

    Malabo Convention ratification

    Evidence found

    Ratified: The AU official status list dated 02/02/2026 records for Benin: signature on 28/01/2015, ratification/accession on 14/05/2024 and deposit on 12/11/2024. No evidence of a domestic implementation programme specific to the Convention was assessed, so 'Ratified' rather than 'Implementing' is recorded.

    Sources au.int (opens in a new tab)au.int (2) (opens in a new tab)

  8. G2.8

    Enforcement actions taken

    Not determined

    No AI-related enforcement action (investigation, fine or order concerning AI or automated processing) was located in this desk review (October 2026); absence is not confirmed because DPA decision registers were not accessible.

  9. G2.9

    Extraterritorial provisions

    Evidence found

    Partial coverage: dataprotection.africa (May 2022) records that Benin's data protection regime applies to foreign entities, including those that only transit data through the country. Coverage is via data protection law; no AI-specific extraterritorial clause was found.

    Sources dataprotection.africa (opens in a new tab)

  10. G2.10

    IP framework for AI

    Not determined

    No evidence of a review of intellectual property legislation for AI-generated content was located in this desk review (October 2026); IP-specific searches could not be completed, so absence is not confirmed.

P3 · Weight 15% of composite

Infrastructure & Data

2.40 / 4Developing

Fellow-assigned pillar score. Indicators not scored. West Africa mean 1.40 · all 54 states mean 1.51.

10 indicators: 4 evidence found, 1 confirmed absence, 5 not determined.

  1. I3.1

    Data center count

    Evidence found

    Data Center Map's Africa directory (page undated; accessed 2026-10-06) lists 1 data centre facility(ies) in Benin, out of 261 listed across 43 African countries. The directory is self-reported by operators and may include some non-colocation facilities.

    Sources datacentermap.com (opens in a new tab)

  2. I3.2

    Data center capacity (MW)

    Not determined

    No dated, named source publishing total live data centre power capacity (MW) for Benin was found. Data Center Map's directory does not report MW, and the ResearchAndMarkets Africa portfolio (Mar 2025) does not disclose country breakdowns in its public release.

    Sources datacentermap.com (opens in a new tab)businesswire.com (opens in a new tab)

  3. I3.3

    Submarine cable landing points

    Evidence found

    TeleGeography Submarine Cable Map data (accessed 2026-10-06) lists 1 landing point(s) in Benin served by at least one in-service international cable (Cotonou), carrying 3 distinct international cable systems: ACE, Maroc Telecom West Africa, SAT-3/WASC.

    Sources submarinecablemap.com (opens in a new tab)submarinecablemap.com (2) (opens in a new tab)

  4. I3.4

    International bandwidth (Gbps)

    Not determined

    No dated national international-bandwidth figure for Benin was verified. ITU DataHub (indicator: international bandwidth usage) returned HTTP 403 and robots-disallowed errors on 2026-10-06, and searches of the regulator and press found no usable national figure in this pass.

  5. I3.5

    Hyperscaler presence

    Confirmed absence

    None: Official region lists checked on 2026-10-06 show no cloud region, availability zone or local/edge zone in Benin: AWS (Africa region Cape Town only; local zones Johannesburg and Nairobi), Azure (South Africa North/West only), Google Cloud (africa-south1 Johannesburg only), Oracle (Johannesburg and Casablanca live; Kenya coming soon) and Alibaba (no African region). Huawei Cloud's African regions are Johannesburg and Cairo (May 2024), but this rests on press coverage because Huawei's own region page could not be machine-read.

    Sources aws.amazon.com (opens in a new tab)aws.amazon.com (2) (opens in a new tab)learn.microsoft.com (opens in a new tab)

  6. I3.6

    GPU/HPC access

    Not determined

    No source documenting GPU or HPC capacity for AI research in Benin was opened in this pass. No Benin system appears on the TOP500 list (June 2026).

    Sources top500.org (opens in a new tab)

  7. I3.7

    Data localisation provisions

    Not determined

    The Digital Code conditions transfers on adequacy or APDP authorisation (DLA Piper, accessed 2026-10-06), and CIPESA (Nov 2022) cites Digital Code art. 391 among provisions restricting transfers. No explicit in-country storage mandate was verified in this pass.

    Sources dlapiperdataprotection.com (opens in a new tab)cipesa.org (opens in a new tab)

  8. I3.8

    Cross-border data flow framework

    Evidence found

    Comprehensive: DLA Piper Data Protection Laws of the World (accessed 2026-10-06): The Digital Code (Law No. 2017-20, as amended) permits transfers only to countries ensuring adequate protection, assessed on law, security measures and processing characteristics; the APDP may authorise transfers with contractual clauses or internal rules.

    Sources dlapiperdataprotection.com (opens in a new tab)

  9. I3.9

    Foreign AI surveillance spending

    Not determined

    Benin is not among the 11 countries mapped in IDS/ADRN's Smart City Surveillance in Africa (March 2026), and no other dated source documenting a contract value for foreign AI-enabled surveillance in Benin was opened in this pass.

    Sources ids.ac.uk (opens in a new tab)

  10. I3.10

    Sovereign cloud initiatives

    Evidence found

    Operational: Benin's national data centre, built by Tunisia's TMI and intended to host and secure all State information systems and provide hosting to semi-public actors, was inaugurated by the digital ministers on 1 Jun 2021 (Managers, 2 Jun 2021).

    Sources managers.tn (opens in a new tab)

P4 · Weight 15% of composite

Human Capital

2.20 / 4Developing

Fellow-assigned pillar score. Indicators not scored. West Africa mean 1.14 · all 54 states mean 1.20.

10 indicators: 3 evidence found, 0 confirmed absence, 7 not determined.

  1. H4.1

    AI researchers per million

    Not determined

    No consistent cross-country source of AI-specific researchers per million was found or could be queried for this country as of Oct 2026 (the planned OpenAlex author query was blocked by an API rate limit on 2026-10-06). Context only: the World Bank/UNESCO UIS indicator SP.POP.SCIE.RD.P6 (total R&D researchers per million, all fields) has no value for this country for 2010-2025.

    Sources api.worldbank.org (opens in a new tab)

  2. H4.2

    DPA staff with AI competency

    Not determined

    No published source was found on the number of data protection authority staff with demonstrable AI technical skills as of Oct 2026; DPA annual reports were not located within the research budget of this pass.

  3. H4.3

    University AI programs

    Not determined

    No source counting universities with AI/ML degree programmes was opened for this country in this pass (Oct 2026); a national higher-education programme register or course-page review is needed.

  4. H4.4

    African-authored AI publications

    Evidence found

    CSET Country Activity Tracker (Merged Academic Corpus) via Our World in Data, series 'AI scholarly publications - Field: All', entity Benin (BEN), reference year 2024: 34 publications (2023: 32). Counts articles with at least one author at an institution in the country, English title/abstract only; dataset last updated 27 Apr 2026. OpenAlex could not be used because the API was rate-limited on 2026-10-06.

    Data note: CSET/OWID AI publications 2022–24: 29, 32, 34.

    Sources ourworldindata.org (opens in a new tab)ourworldindata.org (2) (opens in a new tab)

  5. H4.5

    AI patents filed

    Not determined

    No country-level count of AI-related domestic patent filings was retrieved as of Oct 2026. WIPO IP Statistics and national IP office data were not accessible in this pass, and no published AI-patent figure for this country was found.

  6. H4.6

    K-12 CS education

    Not determined

    On 8 Nov 2023 the Council of Ministers approved a feasibility study for integrating basic and continuing training in programming, AI languages and big-data management into the education system (SNIAM 2023-2027). No implemented K-12 CS status was found.

    Sources osiris.sn (opens in a new tab)

  7. H4.7

    AI workforce training programs

    Evidence found

    Planned: SNIAM 2023-2027 provides for capacity-building programmes for public and private actors, subject to feasibility studies approved 8 Nov 2023. The government's National AI Olympiad (June 2026, 150 youths) is talent identification, not workforce reskilling.

    Sources osiris.sn (opens in a new tab)gouv.bj (opens in a new tab)

  8. H4.8

    Labour transition policy

    Not determined

    No government framework on AI and labour-market transition (adopted, draft or under discussion) was found for this country in the sources opened in this pass (Oct 2026).

  9. H4.9

    Informal economy AI assessment

    Not determined

    No government assessment of AI's impact on the informal economy was found for this country in the sources opened in this pass (Oct 2026).

  10. H4.10

    African language NLP coverage

    Evidence found

    Count of domestic non-European languages in Meta NLLB-200/FLORES-200 or Google Translate (Cloud Translation list accessed Oct 2026; Jun 2024 expansion), mapped by the researcher. Supported: Fon (NLLB fon_Latn; Google, Jun 2024), Yoruba (NLLB yor_Latn; Google yo) and Fulfulde (partial: NLLB Nigerian Fulfulde fuv_Latn; Google lists Fulfulde). Bariba, Dendi and other national languages are not listed.

    Sources raw.githubusercontent.com (opens in a new tab)cloud.google.com (opens in a new tab)blog.google (opens in a new tab)

P5 · Weight 10% of composite

Innovation & Ecosystem

2.10 / 4Developing

Fellow-assigned pillar score. Indicators not scored. West Africa mean 1.04 · all 54 states mean 1.05.

10 indicators: 2 evidence found, 0 confirmed absence, 8 not determined.

  1. N5.1

    AI companies count

    Not determined

    TechBehemoths AI-services page for this country returned HTTP 403 when opened in Oct 2026 (likely no AI category page), so no count could be read; no alternative consistent directory count was obtained.

    Sources techbehemoths.com (opens in a new tab)

  2. N5.2

    Private AI investment (USD)

    Not determined

    Partech's 2025 report (22 Jan 2026) states that outside the top four markets only Senegal, Morocco and Ghana exceeded US$50M in tech equity, so Benin received less than US$50M in 2025; no country figure and no AI-specific investment figure was found.

    Sources partechpartners.com (opens in a new tab)

  3. N5.3

    AI incubators/accelerators

    Not determined

    No AI-focused incubator or accelerator count established from an opened source in this pass (general tech hubs not counted).

  4. N5.4

    Regulatory sandbox (AI)

    Not determined

    No fintech or other regulatory sandbox for this country appears in the Open Bank Project Africa sandbox list (updated to early 2026). No AI-specific sandbox was identified; the Datasphere Initiative 2025 inventory found AI-specific sandboxes in Africa still nascent.

    Sources openbankproject.com (opens in a new tab)thedatasphere.org (opens in a new tab)

  5. N5.5

    Government AI procurement

    Not determined

    No evidence located on government procurement of AI from domestic developers (no AI-specific procurement rule or preference policy found in sources opened).

  6. N5.6

    AI safety evaluation capacity

    Not determined

    No AI safety testing or evaluation facility (academic, government or accredited) identified in sources opened.

  7. N5.7

    ISO/IEC 42001 adoption

    Evidence found

    Aware: Benin's standards body ANM is an observing (O) member of ISO/IEC JTC 1/SC 42 (list dated Oct 2026), the committee that developed ISO/IEC 42001, so the standard is known at standards-body level. No 42001 certification of an organisation in the country and no national adoption was found.

    Sources iso.org (opens in a new tab)

  8. N5.8

    Standards body AI competency

    Evidence found

    AI working group: ANM is one of 24 observing (O) members of ISO/IEC JTC 1/SC 42 Artificial intelligence (list dated Oct 2026): it follows AI standardisation but has no voting role. No dedicated national AI technical committee was verified; mapping O-membership to 'AI working group' is a coder judgement.

    Sources iso.org (opens in a new tab)

  9. N5.9

    AI risk assessment frameworks

    Not determined

    No sector-specific or cross-sector AI risk assessment framework identified in sources opened.

  10. N5.10

    University-industry AI partnerships

    Not determined

    No formal university-industry AI research partnership identified in sources opened.

P6 · Weight 10% of composite

Ethics & Inclusion

2.40 / 4Developing

Fellow-assigned pillar score. Indicators not scored. West Africa mean 1.21 · all 54 states mean 1.26.

10 indicators: 4 evidence found, 1 confirmed absence, 5 not determined.

  1. E6.1

    Algorithmic impact assessment

    Evidence found

    Sector-specific mandatory: Article 428 of the Code du numerique requires a data protection impact analysis before high-risk processing, expressly including systematic automated evaluation or profiling that produces legal or similarly significant effects. This is a DPIA under data protection law, not an AI-specific impact assessment; GIRAI 2026 scores Benin 0 on impact assessments.

    Sources database.cyberpolicyportal.org (opens in a new tab)global-index.ai (opens in a new tab)

  2. E6.2

    Bias audit requirements

    Not determined

    GIRAI 2026 scores Benin 66.4 on fairness and non-discrimination, based on the National Strategy for AI and Big Data 2023-2027. No requirement to audit high-risk AI systems for bias was found, but the underlying text was not reviewed for audit provisions, so the status is not determined.

    Sources global-index.ai (opens in a new tab)

  3. E6.3

    Transparency obligations

    Evidence found

    Sector-specific: The only binding transparency-type obligations for automated systems found derive from data protection law (Article 401 of the Code du numerique (solely automated decisions) and data subjects' right to be informed of profiling activities (DLA Piper)), limited to personal-data processing; no AI-specific transparency requirement was found. GIRAI 2026 transparency and explainability score for Benin: 58.6.

    Sources database.cyberpolicyportal.org (opens in a new tab)dlapiperdataprotection.com (opens in a new tab)global-index.ai (opens in a new tab)

  4. E6.4

    Citizen redress mechanism

    Evidence found

    DPA complaint: Article 401 of the Code du numerique (Law 2017-20) provides that no decision producing legal effects or significantly affecting a person may be taken solely on the basis of automated processing evaluating aspects of personality, with contract or legal exceptions; dataprotection.africa (May 2022) and DLA Piper (Jan 2025) confirm this right and an appointed authority (APDP). No AI-specific complaint channel was found as of Oct 2026.

    Sources database.cyberpolicyportal.org (opens in a new tab)dataprotection.africa (opens in a new tab)dlapiperdataprotection.com (opens in a new tab)

  5. E6.5

    Judicial AI remedy

    Not determined

    No court case on algorithms, AI or solely automated decisions was found for Benin in sources opened as of Oct 2026 (data protection trackers, GIRAI 2026 access-to-redress indicator); ordinary courts have general jurisdiction, but the absence of precedent is not confirmed by an authoritative source.

    Sources dataprotection.africa (opens in a new tab)global-index.ai (opens in a new tab)

  6. E6.6

    AI advisory body diversity

    Not determined

    No national AI advisory body for Benin was located in sources opened as of Oct 2026, so composition and diversity cannot be assessed; absence is not confirmed by an authoritative source.

    Sources global-index.ai (opens in a new tab)

  7. E6.7

    Global AI governance participation

    Evidence found

    Observer: Benin is a UNESCO Member State; the Recommendation on the Ethics of AI was adopted unanimously by all 193 Member States in 2021 (as restated in Sep 2025 reporting). Benin is not on the Paris AI Action Summit statement (11 Feb 2025), the initial New Delhi AI Impact Summit Declaration endorser list (20 Feb 2026) or the OECD.AI GPAI member list, and no completed UNESCO RAM was found in sources opened as of Oct 2026.

    Sources middleeastainews.com (opens in a new tab)elysee.fr (opens in a new tab)digitalpolicyalert.org (opens in a new tab)

  8. E6.8

    Civil society AI engagement

    Not determined

    The SNIAM 2023-2027 plans awareness-raising for civil society and users, and GIRAI 2026 scores Benin 47.5 on government mechanisms for CSO inclusion, but no specific consultation of civil society or formal role in AI governance was identified in the strategy text.

    Sources asin.bj (opens in a new tab)global-index.ai (opens in a new tab)

  9. E6.9

    African ethical framework reference

    Confirmed absence

    No reference: A text search of the SNIAM 2023-2027 (adopted 18 Jan 2023) found no reference to Ubuntu or African ethical values; its ethics component aims to adopt a text on AI ethics and responsibility.

    Sources asin.bj (opens in a new tab)

  10. E6.10

    Youth participation

    Not determined

    No formal youth participation mechanism in AI governance was found for Benin in sources opened as of Oct 2026; absence is not confirmed.

    Sources global-index.ai (opens in a new tab)

P7 · Weight 10% of composite

Regional Integration

3.10 / 4Established

Fellow-assigned pillar score. Indicators not scored. West Africa mean 1.66 · all 54 states mean 1.55.

10 indicators: 3 evidence found, 0 confirmed absence, 7 not determined.

  1. R7.1

    AU AI Strategy alignment

    Evidence found

    Awareness: Benin signed the Africa Declaration on AI (Kigali, 4 April 2025), which commits signatories (clause 3.6.1) to national AI frameworks aligned with the AU Continental AI Strategy; Benin's National Strategy for AI and Big Data (SNIAM) 2023-2027 predates the July 2024 AU strategy and no formal re-alignment process was found as of Oct 2026.

    Sources c4ir.rw (opens in a new tab)africadataprotection.org (opens in a new tab)

  2. R7.2

    Kigali Declaration endorsement

    Evidence found

    Endorsed: Benin appears on the official signatory list of the Africa Declaration on Artificial Intelligence, done at Kigali on 4 April 2025 (C4IR Rwanda PDF created 5 April 2025; list of AU, Smart Africa and 52 states). No evidence of a national implementation step specifically citing the Declaration was found as of Oct 2026.

    Sources c4ir.rw (opens in a new tab)aiexpoafrica.com (opens in a new tab)

  3. R7.3

    REC AI governance coordination

    Not determined

    Benin is a member of ECOWAS (founding 1975) and CEN-SAD (2002). The ECOWAS Parliament called for a regional AI legal framework in July 2025 (proposal stage), but no Benin-specific participation in REC-level AI coordination was documented in sources opened.

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

  4. R7.4

    Cross-border AI agreements

    Not determined

    No bilateral or multilateral AI governance cooperation agreement involving Benin was found in sources opened as of Oct 2026; non-binding declarations (Kigali 2025 and, where applicable, Paris 2025 or New Delhi 2026) are recorded under R7.2 and R7.10.

  5. R7.5

    Election integrity AI provisions

    Not determined

    No election-specific AI provision was found; the general Digital Code Article 576 on AI-generated images (publicised by CNIN on 29 May 2026, after the April 2026 presidential election) is recorded under R7.6.

    Sources wearetech.africa (opens in a new tab)

  6. R7.6

    Disinformation response framework

    Evidence found

    Legislative framework: Article 576 of Benin's Digital Code punishes unauthorised use of AI to modify, generate or disseminate a person's image with up to 5 years prison and fines up to FCFA 25 million; the National Centre for Digital Investigations (CNIN) issued a public warning on this provision on 29 May 2026. The provision is not election-specific.

    Sources wearetech.africa (opens in a new tab)

  7. R7.7

    AI election incidents documented

    Not determined

    No documented AI-related election interference incident was found for Benin in sources opened (search coverage incomplete); count not determined as of Oct 2026.

  8. R7.8

    Platform content moderation

    Not determined

    No government engagement with platforms on AI content moderation was found for Benin in sources opened as of Oct 2026.

  9. R7.9

    Geneva Dialogue participation

    Not determined

    Benin does not appear on the UN list of national statements from the inaugural Global Dialogue on AI Governance (Geneva, 6-7 July 2026). No statement does not prove non-attendance, since the Dialogue is open to all Member States, so participation is not determined.

    Sources un.org (opens in a new tab)un.org (2) (opens in a new tab)

  10. R7.10

    G20/multilateral AI engagement

    Not determined

    Benin is not on the Paris AI Action Summit statement signatory list (Feb 2025), the initial New Delhi AI Impact Summit Declaration endorser list (87 states, 20 Feb 2026; later joiners not fully listed) or the G20 Johannesburg 2025 invited-states list. No other multilateral AI initiative participation was found.

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

P8 · Weight 10% of composite

Implementation & Impact

1.50 / 4Emerging

Fellow-assigned pillar score. Indicators not scored. West Africa mean 0.63 · all 54 states mean 0.78.

10 indicators: 0 evidence found, 0 confirmed absence, 10 not determined.

  1. M8.1

    AI governance budget disbursed

    Not determined

    The national AI and big data strategy (SNIAM 2023-2027), approved by the Council of Ministers on 18 Jan 2023, carries an estimated budget of USD 7.8 m. This is an estimated or committed figure, and no disbursement data was found.

    Sources wearetech.africa (opens in a new tab)oecd.ai (opens in a new tab)

  2. M8.2

    Health AI regulation

    Not determined

    SNIAM targets health, but no health-specific AI regulation was found.

    Sources oecd.ai (opens in a new tab)

  3. M8.3

    Health AI devices approved

    Not determined

    No data was found on approved AI health devices.

  4. M8.4

    Government AI system registry

    Not determined

    No government AI registry was found; the Forum on Information & Democracy brief (Nov 2024 seminar) references none.

    Sources informationdemocracy.org (opens in a new tab)

  5. M8.5

    AI governance M&E reports

    Not determined

    No SNIAM M&E report was located; the Forum on Information & Democracy brief (published Apr 2025) cites no M&E reports.

    Sources informationdemocracy.org (opens in a new tab)

  6. M8.6

    Agriculture AI governance

    Not determined

    SNIAM targets agriculture, but no agriculture-specific AI governance provisions were found.

    Sources oecd.ai (opens in a new tab)

  7. M8.7

    Financial services AI governance

    Not determined

    No BCEAO AI guidance applicable to WAEMU was located; a BCEAO AI conference was held in Dakar in May 2025.

    Sources financialafrik.com (opens in a new tab)

  8. M8.8

    Education AI governance

    Not determined

    SNIAM targets education, but no education-ministry AI guidance was found.

    Sources oecd.ai (opens in a new tab)

  9. M8.9

    Measurable governance outcomes

    Not determined

    No documented AI-related protective outcome was found. The APDP appears in policy recommendations only as a co-actor for awareness on data rights.

    Sources informationdemocracy.org (opens in a new tab)

  10. M8.10

    WHO AI health guidance adoption

    Not determined

    No country-specific adoption was found. WHO AFRO AI-for-health ethics workshops (2021, 47 countries; July 2023) do not list participants.

    Sources afro.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: Benin. Africa AI Governance Index 2026, version 1.2, 7 October 2026. https://www.aipolicy.africa/country-profiles/benin