Africa AI Governance Index 2026 · Country profile on AI governance

Country Profile on AI Governance: Libya

Libya scores 1.11 out of 4 on the Africa AI Governance Index 2026. It sits in the Emerging tier and ranks 28 of 54 states.

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

Libya 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)
7.4 million
Region
North Africa
Regional economic communities
Common Market for Eastern and Southern Africa, Arab Maghreb Union
Geography
Coastal, 4 international submarine cable systems in service

Governance status

  • National AI strategy S1.1

    Adoptednot scored

  • Data protection law G2.2

    Partial provisionsnot scored

  • AI regulatory body G2.5

    Not determinednot scored

  • Malabo Convention ratification G2.7

    Not signednot scored

  • Kigali Declaration endorsement R7.2

    Endorsednot scored

Headline assessment

Libya scores 1.11 out of 4 on the Africa AI Governance Index 2026. It sits in the Emerging tier and ranks 28 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 (2.33). The weakest is Implementation & Impact (0.70). The North Africa mean is 1.57. The mean for all 54 states is 1.33.

Strongest pillar
Strategy & Vision2.33 / 4Developing
Weakest pillar
Implementation & Impact0.70 / 4Nascent

Indicators scored: Pillar level only (fellow-assigned)

Pillar scores

Pillar scores at a glance

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

Bar chart of Libya's eight pillar scores out of 4, compared with the North Africa mean and the mean of all 54 states. The same figures are listed beside each bar and in the table below.
  • Libya score
  • North Africa mean
  • All 54 states mean
  1. P1Strategy & Vision
    2.33Developing

    North Africa: 2.23
    All 54 states: 1.76

  2. P2Governance & Regulation
    0.80Nascent

    North Africa: 1.56
    All 54 states: 1.32

  3. P3Infrastructure & Data
    0.90Nascent

    North Africa: 1.63
    All 54 states: 1.51

  4. P4Human Capital
    0.80Nascent

    North Africa: 1.54
    All 54 states: 1.20

  5. P5Innovation & Ecosystem
    0.80Nascent

    North Africa: 1.39
    All 54 states: 1.05

  6. P6Ethics & Inclusion
    1.20Emerging

    North Africa: 1.33
    All 54 states: 1.26

  7. P7Regional Integration
    1.20Emerging

    North Africa: 1.47
    All 54 states: 1.55

  8. P8Implementation & Impact
    0.70Nascent

    North Africa: 1.05
    All 54 states: 0.78

  9. Composite (weighted)
    1.11Emerging

    North Africa: 1.57
    All 54 states: 1.33

View the pillar scores as a table
Libya pillar scores on the Africa AI Governance Index 2026
PillarBasisWeightScore (0–4)MaturityNorth Africa meanAfrica mean
P1 Strategy & VisionFellow-assigned15%2.33Developing2.231.76
P2 Governance & RegulationFellow-assigned15%0.80Nascent1.561.32
P3 Infrastructure & DataFellow-assigned15%0.90Nascent1.631.51
P4 Human CapitalFellow-assigned15%0.80Nascent1.541.20
P5 Innovation & EcosystemFellow-assigned10%0.80Nascent1.391.05
P6 Ethics & InclusionFellow-assigned10%1.20Emerging1.331.26
P7 Regional IntegrationFellow-assigned10%1.20Emerging1.471.55
P8 Implementation & ImpactFellow-assigned10%0.70Nascent1.050.78
Composite (weighted)—100%1.11Emerging1.571.33
Country report

What the scores say about Libya

Libya scores 1.11 out of 4 on the composite, which places it in the Emerging tier at rank 28 of 54. The eight pillar scores are fellow-assigned values from the Regional Summary, and the indicators are not scored. The composite is below the North Africa mean of 1.57 and the Africa mean of 1.33. Strategy and Vision is the strongest pillar at 2.33 and Implementation and Impact is the weakest at 0.70. Five of the eight pillars sit in the Nascent tier. Desk research in October 2026, which did not inform the scores, found a national strategy unveiled on 1 June 2026, no standalone data protection law and no data protection authority.

P1Strategy & Vision2.33 / 4Developing

Strategy and Vision scores 2.33 (Developing), a fellow-assigned value. Desk research in October 2026 found that Prime Minister Abdulhamid Dbeibah of the Government of National Unity unveiled the National AI Strategy 2026 to 2030 and a National Charter for AI Ethics on 1 June 2026. The charter is reported as formally adopted (S1.1). OECD.AI lists the strategy as 2025 to 2030, a period discrepancy (S1.2). Targets for 2030 include 80% of public administrations using AI solutions and 100 AI startups (S1.7), and the strategy reportedly holds 35 initiatives (S1.8). A July 2026 SMEX analysis found that all 13 consulted entities were state bodies (S1.6). A budget, African Union alignment and a review mechanism were not determined (S1.4, S1.5, S1.10).

See the 10 indicators for Strategy & Vision

P2Governance & Regulation0.80 / 4Nascent

Governance and Regulation scores 0.80 (Nascent), a fellow-assigned value. Desk research in October 2026 confirmed four absences. Libya has no standalone data protection law and no data protection authority, and so no authority staff or budget (G2.2, G2.3, G2.4). The editor's note of 7 October 2026 records that Law No. 6 of 2022 on Electronic Transactions, issued on 4 October 2022, contains personal data provisions in Articles 73 to 79 (G2.2). The African Union status list dated 2 February 2026 records no Malabo Convention signature, ratification or deposit for Libya (G2.7). The other indicators were not determined. No bill or law specific to artificial intelligence was identified (G2.1), and no dedicated governance body was confirmed (G2.5).

See the 10 indicators for Governance & Regulation

P3Infrastructure & Data0.90 / 4Nascent

Infrastructure and Data scores 0.90 (Nascent), a fellow-assigned value. Desk research in October 2026 found 4 submarine cable landing points, at Tripoli, Benghazi, Misurata and Derna, carrying 4 international cable systems: EIG, Italy-Libya, Medusa and Silphium (I3.3). Article 78 of Law No. 6 of 2022 on Electronic Transactions regulates transfers of personal data abroad, and the editor's note of 7 October 2026 resolves an earlier conflict between sources on this point (I3.8). The research confirmed that no hyperscaler region is located in the country (I3.5). The data centre count, data centre power capacity, international bandwidth and a localisation provision were not determined (I3.1, I3.2, I3.4, I3.7). No Libya system appears on the TOP500 list of June 2026 (I3.6).

See the 10 indicators for Infrastructure & Data

P4Human Capital0.80 / 4Nascent

Human Capital scores 0.80 (Nascent), a fellow-assigned value. Desk research in October 2026 found evidence on 3 of the 10 indicators. The CSET Country Activity Tracker, via Our World in Data, counts 109 artificial intelligence scholarly publications for Libya in 2024 and 125 in 2023 (H4.4). The strategy launched in June 2026 targets training 10,000 professionals by 2030, a planned measure (H4.7). Modern Standard Arabic and Tamasheq are supported in the translation tools checked, while Libyan Arabic, Nafusi/Libyan Tamazight and Tebu are not listed (H4.10). The other 7 indicators were not determined. No source was opened on university programmes or school computer science education (H4.3, H4.6), and no labour transition framework was found (H4.8).

See the 10 indicators for Human Capital

P5Innovation & Ecosystem0.80 / 4Nascent

Innovation and Ecosystem scores 0.80 (Nascent), a fellow-assigned value. Desk research in October 2026 found evidence on none of the 10 indicators. It confirmed one absence: the national standards body, LNCSM, is an ISO member body, but Libya is absent from the participating and observing member lists of ISO/IEC JTC 1/SC 42, and no national artificial intelligence committee was found (N5.8). The other 9 indicators were not determined. No company count could be read (N5.1). Partech's 2025 report implies that Libya received less than US$50M in tech equity in 2025, with no country figure (N5.2). No regulatory sandbox, safety evaluation facility or risk assessment framework was identified in the sources opened (N5.4, N5.6, N5.9).

See the 10 indicators for Innovation & Ecosystem

P6Ethics & Inclusion1.20 / 4Emerging

Ethics and Inclusion scores 1.20 (Emerging), a fellow-assigned value. Desk research in October 2026 found that the National Charter for AI Ethics classifies justice, security and health systems as high-risk and requires 'mandatory prior ethical assessment plus human oversight'. Classification relies on self-assessment, and the charter is an executive instrument, not legislation (E6.1). The charter imposes no obligation to disclose the logic of an adverse algorithmic decision (E6.3). The research confirmed three absences: no redress mechanism was found operating (E6.4), no civil society organisation appeared in the drafting chain (E6.8), and no youth body took part in drafting (E6.10). Bias audit requirements, a judicial remedy and an advisory body were not determined (E6.2, E6.5, E6.6).

See the 10 indicators for Ethics & Inclusion

P7Regional Integration1.20 / 4Emerging

Regional Integration scores 1.20 (Emerging), a fellow-assigned value. Desk research in October 2026 found Libya on the official signatory list of the Africa Declaration on Artificial Intelligence, done at Kigali on 4 April 2025, with no national implementation step citing the Declaration (R7.1, R7.2). Libya delivered a national statement at the inaugural United Nations Global Dialogue on AI Governance in Geneva on 6 to 7 July 2026 (R7.9). The other indicators were not determined. Libya is a member of AMU, COMESA and CEN-SAD, but no regional coordination activity involving Libya was found (R7.3). No cross-border agreement, election provision, disinformation framework or platform engagement was found in the sources opened (R7.4, R7.5, R7.6, R7.8).

See the 10 indicators for Regional Integration

P8Implementation & Impact0.70 / 4Nascent

Implementation and Impact scores 0.70 (Nascent), a fellow-assigned value. Desk research in October 2026 found evidence on none of the 10 indicators. It confirmed one absence: OECD.AI records an implementation-monitoring mechanism, and states that the strategy is not yet evaluated and that evaluation results will not be public (M8.5). The other 9 indicators were not determined. The strategy and charter carry no disclosed budget (M8.1). Health, financial services and education are priority sectors, but no health regulation, Central Bank of Libya guidance or education-ministry guidance was found (M8.2, M8.7, M8.8). No government system registry is mentioned (M8.4), and no documented 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

2.33 / 4Developing

Fellow-assigned pillar score. Indicators not scored. North Africa mean 2.23 · all 54 states mean 1.76.

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

  1. S1.1

    National AI strategy existence

    Evidence found

    Adopted: The National AI Strategy 2026-2030 and a National Charter for AI Ethics were unveiled by Prime Minister Abdulhamid Dbeibah (Government of National Unity) in Tripoli on 1 Jun 2026; the Ethics Charter is reported as formally adopted. Earlier, a 'National AI Policy: Strategies and Action Plans' was issued by the Communications and Informatics Authority (published 2024 per Carnegie), and an ESCWA-supported draft strategy was being refined in Oct 2025.

    Sources ecofinagency.com (opens in a new tab)smex.org (opens in a new tab)dig.watch (opens in a new tab)

  2. S1.2

    Strategy adoption date

    Evidence found

    2026-06: National AI Strategy 2026-2030 launched by the GNU Prime Minister on 1 Jun 2026. OECD.AI lists the instrument as 2025-2030 under the General Information Authority, a period discrepancy.

    Sources ecofinagency.com (opens in a new tab)smex.org (opens in a new tab)oecd.ai (opens in a new tab)

  3. S1.3

    Political commitment signals

    Evidence found

    Institutional action: PM Dbeibah presided over the launch (Jun 2026), and a ministerial portfolio dedicated to the digital economy and AI was created. OECD.AI records a proposal for a National AI Authority under the Council of Ministers.

    Sources ecofinagency.com (opens in a new tab)northafricapost.com (opens in a new tab)oecd.ai (opens in a new tab)

  4. S1.4

    Dedicated AI budget allocation

    Not determined

    No budget allocation reported in launch coverage or OECD.AI.

    Sources ecofinagency.com (opens in a new tab)smex.org (opens in a new tab)oecd.ai (opens in a new tab)

  5. S1.5

    AU Continental AI Strategy alignment

    Not determined

    Coverage of the 2026 strategy does not address AU Continental AI Strategy alignment.

    Sources smex.org (opens in a new tab)

  6. S1.6

    Multi-stakeholder consultation

    Evidence found

    Informal: Official documents claim a participatory approach and OECD.AI lists expert and stakeholder consultations. An independent SMEX analysis (Jul 2026) found that all 13 consulted entities were ministries, state regulators or state-affiliated companies, with civil society and independent academia absent. The ESCWA workshop (Oct 2025) involved public institutions only.

    Sources smex.org (opens in a new tab)oecd.ai (opens in a new tab)unescwa.org (opens in a new tab)

  7. S1.7

    Sector prioritisation

    Evidence found

    Specific sectors with targets: 2030 targets: 80% of public administrations using AI solutions, 50% of administrative transactions automated, 70% digital-ID coverage, 10,000 trained professionals, 100 AI startups. OECD.AI lists health, finance, education, public sector, industry and digital economy as target sectors.

    Sources ecofinagency.com (opens in a new tab)northafricapost.com (opens in a new tab)oecd.ai (opens in a new tab)

  8. S1.8

    Implementation roadmap

    Evidence found

    Phased plan: The strategy is reported to include 35 initiatives under pillars, performance indicators and a multi-year implementation schedule to 2030; named deliverables include an AI ethics oversight body and a data protection law (targeted 2026).

    Sources ecofinagency.com (opens in a new tab)smex.org (opens in a new tab)

  9. S1.9

    Monitoring and evaluation framework

    Evidence found

    Planned: Performance indicators are attached to the strategy. OECD.AI states monitoring mechanisms exist but evaluation results are non-public, and no M&E report was found.

    Sources ecofinagency.com (opens in a new tab)oecd.ai (opens in a new tab)

  10. S1.10

    Strategy review mechanism

    Not determined

    No scheduled review mechanism found; SMEX notes annual national forums planned after adoption, which are not a defined review process.

    Sources smex.org (opens in a new tab)

P2 · Weight 15% of composite

Governance & Regulation

0.80 / 4Nascent

Fellow-assigned pillar score. Indicators not scored. North Africa mean 1.56 · all 54 states mean 1.32.

10 indicators: 0 evidence found, 4 confirmed absence, 6 not determined.

  1. G2.1

    AI-specific legislation

    Not determined

    OECD.AI (entry added 23 April 2026) records Libya's National AI Strategy 2025-2030, structured around six pillars including governance, legislation and ethics. No AI-specific bill or law was identified.

    Sources oecd.ai (opens in a new tab)

  2. G2.2

    Data protection law status

    Confirmed absence

    None: dataprotection.africa (May 2022) states that Libya has no data protection legislation; only scattered provisions exist in the 1953 Penal Code and Act No. 4 of 1990. No later enactment was found in this review.

    Editor's note, 7 October 2026: Law No. 6 of 2022 on Electronic Transactions, issued on 4 October 2022, contains personal data provisions in Articles 73 to 79. Libya has no standalone data protection law and no data protection authority. The dataprotection.africa page was last updated on 23 May 2022, before the law.

    Sources lawsociety.ly (opens in a new tab)dlapiperdataprotection.com (opens in a new tab)dataprotection.africa (opens in a new tab)

  3. G2.3

    DPA AI mandate

    Confirmed absence

    No DPA: dataprotection.africa (May 2022) records no data protection law and no data protection authority in Libya.

    Sources dataprotection.africa (opens in a new tab)

  4. G2.4

    DPA staffing and budget

    Confirmed absence

    Libya has no data protection authority (dataprotection.africa, May 2022), so there are no DPA staff or budget figures.

    Sources dataprotection.africa (opens in a new tab)

  5. G2.5

    AI regulatory body existence

    Not determined

    No dedicated AI governance body was confirmed in this review; the National AI Strategy 2025-2030 includes a governance pillar (OECD.AI, April 2026).

    Sources oecd.ai (opens in a new tab)

  6. G2.6

    Institutional design model

    Not determined

    No regulatory model for AI governance in Libya was identified in this review.

    Sources oecd.ai (opens in a new tab)

  7. G2.7

    Malabo Convention ratification

    Confirmed absence

    Not signed: The AU official status list of the Malabo Convention dated 02/02/2026 records no signature, ratification or deposit for Libya. The Convention entered into force on 8 June 2023; the list counts 21 signatures and 20 ratifications.

    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

    Not determined

    With no data protection law (dataprotection.africa, May 2022), no data-protection extraterritorial scope exists; other legislation was not reviewed for provisions covering foreign AI systems.

    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

0.90 / 4Nascent

Fellow-assigned pillar score. Indicators not scored. North Africa mean 1.63 · all 54 states mean 1.51.

10 indicators: 2 evidence found, 1 confirmed absence, 7 not determined.

  1. I3.1

    Data center count

    Not determined

    Libya does not appear among the 43 countries on Data Center Map's Africa directory (accessed 2026-10-06), so the directory lists no facility there. A directory omission does not prove absence, and no other count of commercial data centres was verified in this pass.

    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 Libya 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 4 landing point(s) in Libya served by at least one in-service international cable (Tripoli, Benghazi, Misurata, Derna), carrying 4 distinct international cable systems: EIG, Italy-Libya, Medusa, Silphium; 10 further points land only the domestic LFON or Tobrok-Emasaed systems.

    Sources submarinecablemap.com (opens in a new tab)submarinecablemap.com (2) (opens in a new tab)submarinecablemap.com (3) (opens in a new tab)

  4. I3.4

    International bandwidth (Gbps)

    Not determined

    No dated national international-bandwidth figure for Libya 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 Libya: 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 Libya was opened in this pass. No Libya system appears on the TOP500 list (June 2026).

    Sources top500.org (opens in a new tab)

  7. I3.7

    Data localisation provisions

    Not determined

    DLA Piper (accessed 2026-10-06) cites only Law 6/2022 art. 78 on transfer safeguards. No localisation provision was verified in this pass.

    Sources dlapiperdataprotection.com (opens in a new tab)

  8. I3.8

    Cross-border data flow framework

    Evidence found

    Comprehensive: DLA Piper (accessed 2026-10-06) cites Article 78 of Law No. 6/2022, which requires transfers outside Libya to give due consideration to an appropriate level of protection (data nature, purposes, destination law and security measures). This is a single-article provision. dataprotection.africa (updated 23 May 2022) still states Libya has no data protection law and no transfer law, so the two sources conflict.

    Editor's note, 7 October 2026: The conflict between sources is resolved. Article 78 of Law No. 6 of 2022 on Electronic Transactions regulates transfers of personal data abroad. The dataprotection.africa page predates the law.

    Sources lawsociety.ly (opens in a new tab)dlapiperdataprotection.com (opens in a new tab)dataprotection.africa (opens in a new tab)

  9. I3.9

    Foreign AI surveillance spending

    Not determined

    Libya 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 Libya was opened in this pass.

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

  10. I3.10

    Sovereign cloud initiatives

    Not determined

    No source documenting a national sovereign cloud or government domestic computing initiative in Libya was opened in this pass.

P4 · Weight 15% of composite

Human Capital

0.80 / 4Nascent

Fellow-assigned pillar score. Indicators not scored. North Africa mean 1.54 · 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 Libya (LBY), reference year 2024: 109 publications (2023: 125). 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: 99, 125, 109.

    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

    No authoritative source on the status of K-12 computer science education was opened for this country in this pass (Oct 2026).

  7. H4.7

    AI workforce training programs

    Evidence found

    Planned: The National AI Strategy 2026-2030, launched by the Government of National Unity in June 2026 together with a National Charter on AI Ethics, targets training 10,000 professionals and creating 100 AI startups by 2030.

    Sources ecofinagency.com (opens in a new tab)menastartupdigest.com (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: Modern Standard Arabic (NLLB arb_Arab; Google ar) and Tamasheq (NLLB taq). Libyan Arabic, Nafusi/Libyan Tamazight and Tebu 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

0.80 / 4Nascent

Fellow-assigned pillar score. Indicators not scored. North Africa mean 1.39 · all 54 states mean 1.05.

10 indicators: 0 evidence found, 1 confirmed absence, 9 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 Libya 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

    Not determined

    No ISO/IEC 42001 certification of an organisation based in this country and no national adoption of the standard was found (searches Oct 2026); the national standards body is not a member of ISO/IEC JTC 1/SC 42, the committee that publishes ISO/IEC 42001.

    Sources iso.org (opens in a new tab)

  8. N5.8

    Standards body AI competency

    Confirmed absence

    Exists, no AI focus: National standards body LNCSM (ISO member body) exists, but Libya is absent from both the participating and observing member lists of ISO/IEC JTC 1/SC 42 (Artificial intelligence) as of Oct 2026, so there is no AI committee participation; no national AI committee was found.

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

1.20 / 4Emerging

Fellow-assigned pillar score. Indicators not scored. North Africa mean 1.33 · all 54 states mean 1.26.

10 indicators: 3 evidence found, 3 confirmed absence, 4 not determined.

  1. E6.1

    Algorithmic impact assessment

    Evidence found

    Sector-specific mandatory: The National Charter for AI Ethics (unveiled 1 Jun 2026) classifies justice, security and health systems as high-risk requiring 'mandatory prior ethical assessment plus human oversight', but high-risk classification relies on self-assessment and the charter is an executive instrument, not legislation (SMEX, 22 Jul 2026). GIRAI 2026 scores Libya 0 on impact assessments.

    Sources smex.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 Libya 40.1 on fairness and non-discrimination, based on the National Charter for the Ethics of AI. 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. SMEX (Jul 2026) reports the charter commits to non-discrimination and accountability for algorithmic harm and proposes an executive-based oversight body issuing 'ethical compliance' certifications, not bias audits.

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

  3. E6.3

    Transparency obligations

    Evidence found

    Voluntary: Libya's National Charter for the Ethics of AI, unveiled with the AI strategy on 1 Jun 2026, is the evidence behind GIRAI 2026's transparency and explainability score of 39.4. Libya has no data protection law (dataprotection.africa), so no binding transparency rule exists. SMEX (Jul 2026) notes the charter imposes no obligation to disclose the logic of an adverse algorithmic decision.

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

  4. E6.4

    Citizen redress mechanism

    Confirmed absence

    No mechanism: Libya has no data protection law or authority (dataprotection.africa, May 2022). The Jun 2026 AI Ethics Charter calls for a 'clear and accessible mechanism for administrative complaint and objection' to algorithmic decisions but specifies no appeal timelines, independent appellate authority or judicial review pathway (SMEX, 22 Jul 2026); no such mechanism was found operating as of Oct 2026.

    Sources dataprotection.africa (opens in a new tab)smex.org (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 Libya 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

    The AI Ethics Charter proposes a 'national oversight body for AI ethics' created by and within the Council of Ministers, and OECD.AI records a proposed National AI Authority under the Council of Ministers; neither was found constituted, and SMEX notes no public nomination, parliamentary confirmation or civil society seats.

    Sources smex.org (opens in a new tab)oecd.ai (opens in a new tab)

  7. E6.7

    Global AI governance participation

    Evidence found

    Observer: Libya 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). Libya 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

    Confirmed absence

    None: SMEX's analysis (22 Jul 2026) of the Jun 2026 strategy and ethics charter found that all 13 consulted entities were state bodies and no civil society organisation appeared in the drafting chain; Initiative 35 only plans future involvement of civil society in strategy committees and an annual national forum. GIRAI 2026 scores government mechanisms for CSO inclusion at 0.

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

  9. E6.9

    African ethical framework reference

    Not determined

    No reference to Ubuntu or African ethical principles was found; the strategy references local values in the context of Islamic fintech, and SMEX lists 'human values' among the charter's principles. The Arabic strategy text was only partly searchable, so absence is not confirmed.

    Sources smex.org (opens in a new tab)api.oecdai.org (opens in a new tab)

  10. E6.10

    Youth participation

    Confirmed absence

    None: Youth participation in AI governance is only a planned measure: Initiative 35 of the 2026 strategy calls for 'involving the private sector, civil society, and youth in strategy committees' after adoption, and no youth body took part in drafting (SMEX, 22 Jul 2026).

    Sources smex.org (opens in a new tab)

P7 · Weight 10% of composite

Regional Integration

1.20 / 4Emerging

Fellow-assigned pillar score. Indicators not scored. North Africa mean 1.47 · 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: Libya is a signatory of the Africa Declaration on AI (Kigali, 4 April 2025), which in clause 3.6.1 commits signatories to support national AI policies and governance frameworks aligned with the AU Continental AI Strategy; no country-specific formal alignment process was found in sources opened as of Oct 2026.

    Sources c4ir.rw (opens in a new tab)

  2. R7.2

    Kigali Declaration endorsement

    Evidence found

    Endorsed: Libya 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

    Libya is a member of AMU (founding 1989), COMESA (2005) and CEN-SAD (founding 1998). No REC-level AI governance coordination activity involving Libya was found in sources opened as of Oct 2026.

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

  4. R7.4

    Cross-border AI agreements

    Not determined

    No bilateral or multilateral AI governance cooperation agreement involving Libya 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 legal or institutional provision addressing AI in elections was found for Libya in sources opened as of Oct 2026.

  6. R7.6

    Disinformation response framework

    Not determined

    No government framework for responding to AI-generated disinformation was found for Libya in sources opened as of Oct 2026.

  7. R7.7

    AI election incidents documented

    Not determined

    No documented AI-related election interference incident was found for Libya 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 Libya in sources opened as of Oct 2026.

  9. R7.9

    Geneva Dialogue participation

    Evidence found

    Active contributor: Libya delivered a national statement at the inaugural UN Global Dialogue on AI Governance (Geneva, 6-7 July 2026), per the UN list of statements from Member States and Observers.

    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

    Libya 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

0.70 / 4Nascent

Fellow-assigned pillar score. Indicators not scored. North Africa mean 1.05 · all 54 states mean 0.78.

10 indicators: 0 evidence found, 1 confirmed absence, 9 not determined.

  1. M8.1

    AI governance budget disbursed

    Not determined

    The National AI Strategy and National Charter on AI Ethics were adopted by PM Dbeibah (launched 1 Jun 2026) with no disclosed budget; OECD.AI also lists no budget.

    Sources ecofinagency.com (opens in a new tab)oecd.ai (opens in a new tab)

  2. M8.2

    Health AI regulation

    Not determined

    The strategy names health as one of four priority sectors for immediate AI impact, 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 is mentioned. The strategy targets 80% of public administrations using AI by 2030 and plans a National AI Authority under the Council of Ministers.

    Sources ecofinagency.com (opens in a new tab)oecd.ai (opens in a new tab)

  5. M8.5

    AI governance M&E reports

    Confirmed absence

    OECD.AI records an implementation-monitoring mechanism but states the strategy is not yet evaluated and that evaluation results will not be public. The source dates the strategy as 2025-2030 while Ecofin reports a 1 Jun 2026 launch for 2026-2030.

    Sources oecd.ai (opens in a new tab)ecofinagency.com (opens in a new tab)

  6. M8.6

    Agriculture AI governance

    Not determined

    Agriculture is not among the strategy's priority sectors (health, financial services, education, public services), and no agriculture AI provisions were found.

    Sources oecd.ai (opens in a new tab)

  7. M8.7

    Financial services AI governance

    Not determined

    Financial services is a priority sector in the 2025/26-2030 strategy, but no Central Bank of Libya AI guidance was found.

    Sources oecd.ai (opens in a new tab)

  8. M8.8

    Education AI governance

    Not determined

    Education is a priority sector, with a target of 10,000 professionals trained in advanced technologies by 2030, but no education-ministry AI guidance was found.

    Sources oecd.ai (opens in a new tab)ecofinagency.com (opens in a new tab)

  9. M8.9

    Measurable governance outcomes

    Not determined

    No documented protective outcome was found; the strategy and ethics charter were adopted only in mid-2026.

    Sources ecofinagency.com (opens in a new tab)

  10. M8.10

    WHO AI health guidance adoption

    Not determined

    No evidence was found of formal adoption of the WHO AI-for-health guidance.

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