Africa AI Governance Index 2026 · Country profile on AI governance

Country Profile on AI Governance: Zambia

Zambia scores 1.29 out of 4 on the Africa AI Governance Index 2026. It sits in the Emerging tier and ranks 24 of 54 states.

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

Zambia 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)
21.3 million
Region
Southern Africa
Regional economic communities
Southern African Development Community, Common Market for Eastern and Southern Africa
Geography
Landlocked

Governance status

  • National AI strategy S1.1

    Adoptednot scored

  • Data protection law G2.2

    Enforced with DPAnot scored

  • AI regulatory body G2.5

    Proposednot scored

  • Malabo Convention ratification G2.7

    Ratifiednot scored

  • Kigali Declaration endorsement R7.2

    Endorsednot scored

Headline assessment

Zambia scores 1.29 out of 4 on the Africa AI Governance Index 2026. It sits in the Emerging tier and ranks 24 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 (2.30). The weakest is Implementation & Impact (0.20). The Southern Africa mean is 1.49. The mean for all 54 states is 1.33.

Strongest pillar
Strategy & Vision2.30 / 4Developing
Weakest pillar
Implementation & Impact0.20 / 4Nascent

Indicators scored: Pillar level only (fellow-assigned)

Pillar scores

Pillar scores at a glance

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

Bar chart of Zambia's eight pillar scores out of 4, compared with the Southern Africa mean and the mean of all 54 states. The same figures are listed beside each bar and in the table below.
  • Zambia score
  • Southern Africa mean
  • All 54 states mean
  1. P1Strategy & Vision
    2.30Developing

    Southern Africa: 2.04
    All 54 states: 1.76

  2. P2Governance & Regulation
    1.60Emerging

    Southern Africa: 1.43
    All 54 states: 1.32

  3. P3Infrastructure & Data
    1.40Emerging

    Southern Africa: 1.77
    All 54 states: 1.51

  4. P4Human Capital
    0.90Nascent

    Southern Africa: 1.40
    All 54 states: 1.20

  5. P5Innovation & Ecosystem
    1.00Emerging

    Southern Africa: 1.16
    All 54 states: 1.05

  6. P6Ethics & Inclusion
    1.20Emerging

    Southern Africa: 1.48
    All 54 states: 1.26

  7. P7Regional Integration
    1.20Emerging

    Southern Africa: 1.62
    All 54 states: 1.55

  8. P8Implementation & Impact
    0.20Nascent

    Southern Africa: 0.70
    All 54 states: 0.78

  9. Composite (weighted)
    1.29Emerging

    Southern Africa: 1.49
    All 54 states: 1.33

View the pillar scores as a table
Zambia pillar scores on the Africa AI Governance Index 2026
PillarBasisWeightScore (0–4)MaturitySouthern Africa meanAfrica mean
P1 Strategy & VisionFellow-assigned15%2.30Developing2.041.76
P2 Governance & RegulationFellow-assigned15%1.60Emerging1.431.32
P3 Infrastructure & DataFellow-assigned15%1.40Emerging1.771.51
P4 Human CapitalFellow-assigned15%0.90Nascent1.401.20
P5 Innovation & EcosystemFellow-assigned10%1.00Emerging1.161.05
P6 Ethics & InclusionFellow-assigned10%1.20Emerging1.481.26
P7 Regional IntegrationFellow-assigned10%1.20Emerging1.621.55
P8 Implementation & ImpactFellow-assigned10%0.20Nascent0.700.78
Composite (weighted)—100%1.29Emerging1.491.33
Country report

What the scores say about Zambia

Zambia scores 1.29 out of 4 on the Africa AI Governance Index 2026, which places it in the Emerging tier and ranks it 24 of 54. 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 2.30 and Implementation and Impact is the weakest at 0.20. The composite sits below the Southern Africa mean of 1.49 and is level with the Africa mean of 1.33. Desk research in October 2026, unverified by fellows and not used for the scores, found a National AI Strategy launched on 22 November 2024, a data protection Act with an operational regulator, and no published implementation or monitoring report.

P1Strategy & Vision2.30 / 4Developing

Strategy and Vision scores 2.30, in the Developing tier, a fellow-assigned value and the highest of the eight. Desk research in October 2026 found evidence on nine of 10 indicators. Technology and Science Minister Felix Mutati launched the National AI Strategy on 22 November 2024 (S1.1, S1.2). The strategy provides for a National AI Council; the research could not confirm that the Council has been constituted (S1.3). It names healthcare, agriculture, mining, education, finance and public administration as priority sectors (S1.7), phases implementation over two years (S1.8) and includes a monitoring framework with mid-term and end-term evaluations (S1.9, S1.10). No implementation or monitoring report was found. The budget is not determined: no source specifies one (S1.4).

See the 10 indicators for Strategy & Vision

P2Governance & Regulation1.60 / 4Emerging

Governance and Regulation scores 1.60, in the Emerging tier, a fellow-assigned value. Desk research in October 2026 found that the Data Protection Act No. 3 of 2021 took effect on 1 April 2021 and that the Office of the Data Protection Commissioner was reported fully operational on 10 April 2025 (G2.2). On 24 April 2025 the Cabinet approved in principle a bill to repeal that Act and extend the framework to AI; no enacted AI law was found (G2.1). The African Union status list records ratification of the Malabo Convention on 15 December 2020 (G2.7). The research recorded a confirmed absence of extraterritorial provisions (G2.9). An AI mandate for the regulator is not determined (G2.3).

See the 10 indicators for Governance & Regulation

P3Infrastructure & Data1.40 / 4Emerging

Infrastructure and Data scores 1.40, in the Emerging tier, a fellow-assigned value. Desk research in October 2026 found 3 data centre facilities listed in Data Center Map's directory (I3.1); state-owned INFRATEL operates three data centres built for the Smart Zambia project (I3.10). Section 70 of the Data Protection Act 2021 requires personal data to be processed and stored in Zambia, and sensitive personal data must always stay in-country (I3.7). International bandwidth for 2025 is reported as about 329 Gbps; the editor's note calls the figure indicative because the source series is inconsistent (I3.4). The research recorded confirmed absences of cable landing points, as Zambia is landlocked, and of any hyperscaler cloud region (I3.3, I3.5).

See the 10 indicators for Infrastructure & Data

P4Human Capital0.90 / 4Nascent

Human Capital scores 0.90, in the Nascent tier, a fellow-assigned value. Desk research in October 2026 found evidence on three indicators. A publications tracker counts 24 AI scholarly publications with a Zambian affiliation for 2024 (H4.4). Bemba, Nyanja and Tumbuka are supported in the language tools checked; Tonga, Lozi, Kaonde, Lunda and Luvale are not listed (H4.10). The government plans an AI training centre, and an AI Centre of Excellence was announced at the University of Zambia with Google and ZAMREN in September 2024; no running reskilling programme was documented (H4.7). Seven indicators are not determined, including AI researchers, university AI programmes, school computer science education and AI patents (H4.1, H4.3, H4.6, H4.5).

See the 10 indicators for Human Capital

P5Innovation & Ecosystem1.00 / 4Emerging

Innovation and Ecosystem scores 1.00, in the Emerging tier, a fellow-assigned value. Desk research in October 2026 found evidence on one indicator: the TechBehemoths directory lists 4 companies in Zambia that provide AI services, which the research treats as a lower bound (N5.1). It recorded a confirmed absence on one: the standards body ZABS exists, but Zambia is absent from both member lists of ISO/IEC JTC 1/SC 42 and no national AI committee was found (N5.8). Eight indicators are not determined. The Bank of Zambia and the Securities and Exchange Commission run fintech sandboxes that are not AI-specific (N5.4). No ISO/IEC 42001 certification, AI safety evaluation facility, risk assessment framework or signed university-industry agreement was found (N5.7, N5.6, N5.9, N5.10).

See the 10 indicators for Innovation & Ecosystem

P6Ethics & Inclusion1.20 / 4Emerging

Ethics and Inclusion scores 1.20, in the Emerging tier, a fellow-assigned value. Desk research in October 2026 found that section 46(1) of the Data Protection Act 2021 requires an impact assessment before high-risk processing that uses new technologies; this is a data protection assessment and is not AI-specific (E6.1). Section 62(1) bars decisions based solely on automated processing with legal or similar effects, and section 68 lets data subjects complain to the Data Protection Commissioner (E6.4). The research recorded confirmed absences of any reference to African ethical principles in the strategy (E6.9) and of any youth mechanism in its governance structure (E6.10). Bias audits, judicial remedy and advisory body diversity are not determined (E6.2, E6.5, E6.6).

See the 10 indicators for Ethics & Inclusion

P7Regional Integration1.20 / 4Emerging

Regional Integration scores 1.20, in the Emerging tier, a fellow-assigned value. Desk research in October 2026 found that Zambia delivered a national statement at the United Nations Global Dialogue on AI Governance in Geneva on 6 and 7 July 2026, and a joint statement for the Group of Friends for International Cooperation on AI Capacity-Building (R7.9, R7.10). Zambia appears on the signatory list of the Africa Declaration on Artificial Intelligence of 4 April 2025 (R7.2). One AI-generated deepfake video of President Hakainde Hichilema, from October 2023, was documented, and police opened an investigation (R7.6, R7.7). No Zambia-specific participation in Southern African Development Community AI coordination was documented (R7.3), and no election provision on AI was found (R7.5).

See the 10 indicators for Regional Integration

P8Implementation & Impact0.20 / 4Nascent

Implementation and Impact scores 0.20, in the Nascent tier, a fellow-assigned value and the lowest of the eight. In the desk research of October 2026, all 10 indicators are not determined. No budget figure, committed or disbursed, is reported for the National AI Strategy (M8.1). The strategy includes a monitoring framework, but no published progress report was located (M8.5). It names health, agriculture and finance as priorities, and the research found no health AI regulation, no agriculture provisions and no Bank of Zambia AI guidance (M8.2, M8.6, M8.7). No government AI registry was found (M8.4). No documented protective outcome was found (M8.9), and no adoption of World Health Organization guidance on AI for health was found (M8.10).

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

2.30 / 4Developing

Fellow-assigned pillar score. Indicators not scored. Southern Africa mean 2.04 · all 54 states mean 1.76.

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

  1. S1.1

    National AI strategy existence

    Evidence found

    Adopted: Technology and Science Minister Felix Mutati launched Zambia's National AI Strategy in Lusaka on 22 Nov 2024. OECD.AI records it as the 'National Artificial Intelligence Strategy of Zambia 2024-2026' under the Ministry of Technology and Science (registry entry Apr 2026). No implementation report was found.

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

  2. S1.2

    Strategy adoption date

    Evidence found

    2024-11: Launched 22 Nov 2024 by the Minister of Technology and Science; OECD.AI gives a 2025 start date and 2026 end date.

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

  3. S1.3

    Political commitment signals

    Evidence found

    Institutional action: The strategy was launched by Minister Mutati, developed with Finland and the Tony Blair Institute, and provides for a National AI Council and Technical Working Groups, with the Smart Zambia Institute coordinating government AI adoption. Whether the Council has been constituted was not confirmed.

    Sources zambiamonitor.com (opens in a new tab)cipit.strathmore.edu (opens in a new tab)oecd.ai (opens in a new tab)

  4. S1.4

    Dedicated AI budget allocation

    Not determined

    No budget specified in OECD.AI, CIPIT or launch coverage.

    Sources oecd.ai (opens in a new tab)cipit.strathmore.edu (opens in a new tab)zambiamonitor.com (opens in a new tab)

  5. S1.5

    AU Continental AI Strategy alignment

    Evidence found

    Partial alignment: CIPIT analysis states the strategy aligns with the AU AI Strategy's priorities for sectoral AI applications. This is a third-party assessment; the strategy text was not reviewed directly.

    Sources cipit.strathmore.edu (opens in a new tab)

  6. S1.6

    Multi-stakeholder consultation

    Evidence found

    Formal consultation: OECD.AI records expert, stakeholder and public consultations informing strategy development, and a multi-stakeholder implementation approach including civil society (Apr 2026).

    Sources oecd.ai (opens in a new tab)

  7. S1.7

    Sector prioritisation

    Evidence found

    Generic: Six pillars, including Industry and Sectoral Development, with priority sectors healthcare, agriculture, mining, education, finance and public administration. No quantified sector targets found.

    Sources cipit.strathmore.edu (opens in a new tab)oecd.ai (opens in a new tab)

  8. S1.8

    Implementation roadmap

    Evidence found

    Phased plan: Implementation is phased: the first 100 days set up governance structures and pilots, year one covers regulation and AI literacy, and year two scales deployment and infrastructure. The Global Center describes three implementation phases.

    Sources cipit.strathmore.edu (opens in a new tab)globalcenter.ai (opens in a new tab)

  9. S1.9

    Monitoring and evaluation framework

    Evidence found

    Planned: The strategy includes a formal M&E framework with KPIs, regular reporting, and mid-term and end-term evaluations (OECD.AI, Apr 2026). No M&E report was found.

    Sources oecd.ai (opens in a new tab)cipit.strathmore.edu (opens in a new tab)

  10. S1.10

    Strategy review mechanism

    Evidence found

    Scheduled review: Mid-term and end-term evaluations are provided for, with adaptive policy adjustments based on M&E findings.

    Sources oecd.ai (opens in a new tab)cipit.strathmore.edu (opens in a new tab)

P2 · Weight 15% of composite

Governance & Regulation

1.60 / 4Emerging

Fellow-assigned pillar score. Indicators not scored. Southern Africa mean 1.43 · all 54 states mean 1.32.

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

  1. G2.1

    AI-specific legislation

    Evidence found

    Under discussion: At its 8th meeting on 24 April 2025, the Cabinet approved in principle a bill to repeal the Data Protection Act No. 3 of 2021 and broaden the legal framework to cover AI, machine learning, data analytics and non-personal data. No enacted AI law was found; the National AI Strategy calls for a robust AI legal and regulatory environment.

    Sources zambiamonitor.com (opens in a new tab)cipit.strathmore.edu (opens in a new tab)

  2. G2.2

    Data protection law status

    Evidence found

    Enforced with DPA: The Data Protection Act No. 3 of 2021 took effect on 1 April 2021 by commencement order. The Office of the Data Protection Commissioner was reported fully operational with an enforcement and registration drive on 10 April 2025, and dataprotection.africa (January 2026) confirms it became operational in 2025.

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

  3. G2.3

    DPA AI mandate

    Not determined

    The ODPC is operational (2025). The National AI Strategy states the Data Commissioner's Office will play a key role in ensuring compliance (CIPIT, 20 March 2025), and the Act gives a right to information about the logic of automated processing, but no formal AI oversight mandate was located.

    Sources cipit.strathmore.edu (opens in a new tab)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 (January 2026) records DPA membership as 'Unclear'.

    Sources dataprotection.africa (opens in a new tab)

  5. G2.5

    AI regulatory body existence

    Evidence found

    Proposed: Zambia's National AI Strategy proposes a National AI Council for AI oversight and governance, working with ZICTA (CIPIT, 20 March 2025; OECD.AI records governance and ethical oversight through a National AI Council). No evidence was found that the Council has been constituted.

    Sources cipit.strathmore.edu (opens in a new tab)oecd.ai (opens in a new tab)

  6. G2.6

    Institutional design model

    Not determined

    The strategy envisages a National AI Council working with ZICTA and the Data Protection Commissioner, which suggests a multi-agency model, but the Council has not been confirmed as constituted. No source formally labels the model.

    Sources cipit.strathmore.edu (opens in a new tab)oecd.ai (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 Zambia: signature on 29/01/2016, ratification/accession on 15/12/2020 and deposit on 24/03/2021. 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. The ODPC began a general enforcement and registration drive in April 2025, which is not AI-specific.

    Sources itedgenews.africa (opens in a new tab)

  9. G2.9

    Extraterritorial provisions

    Confirmed absence

    None: dataprotection.africa (January 2026) records that the Data Protection Act 2021 does not apply to foreign entities. A replacement bill approved in principle in April 2025 may change this, but its text was not reviewed.

    Sources dataprotection.africa (opens in a new tab)zambiamonitor.com (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

1.40 / 4Emerging

Fellow-assigned pillar score. Indicators not scored. Southern Africa mean 1.77 · all 54 states mean 1.51.

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

  1. I3.1

    Data center count

    Evidence found

    Data Center Map's Africa directory (page undated; accessed 2026-10-06) lists 3 data centre facility(ies) in Zambia, 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 published national total of live data centre MW was verified. DCByte's listing for National Data Centre 3 (last modified 12 Mar 2025), one of three INFRATEL-operated Smart Zambia data centres, does not disclose MW; Data Center Map lists 3 facilities.

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

  3. I3.3

    Submarine cable landing points

    Confirmed absence

    Zambia is landlocked; TeleGeography's global landing-point dataset (accessed 2026-10-06) contains no landing point in Zambia. International connectivity is via terrestrial fibre to neighbouring coastal landing stations.

    Sources submarinecablemap.com (opens in a new tab)

  4. I3.4

    International bandwidth (Gbps)

    Evidence found

    SADC ICT Observatory (downloaded 2026-10-06) reports Zambia's 2025 international internet bandwidth as 328,886 Mbit/s (about 329 Gbps), with the same lit/equipped capacity. The 2024 entry of 4,035,248 Mbit/s looks anomalous.

    Editor's note, 7 October 2026: The source series is inconsistent between years. The figure is indicative and no score depends on it.

    Sources ictobservatory.sadc.int (opens in a new tab)ictobservatory.sadc.int (2) (opens in a new tab)

  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 Zambia: 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

    Evidence found

    Limited (academic only): South Africa's CSIR (undated news item, accessed 2026-10-06) states that its Centre for High Performance Computing has redeployed retired supercomputer infrastructure to regional partner countries including Zambia, under the SADC HPC capacity-building programme hosted at universities. No national AI compute facility or commercial GPU cloud in Zambia was identified.

    Sources csir.co.za (opens in a new tab)

  7. I3.7

    Data localisation provisions

    Evidence found

    Comprehensive law: The Data Protection Act 2021 (s.70) requires personal data to be processed and stored on a server or data centre in Zambia. The Minister may prescribe categories that may be stored abroad, but sensitive personal data must always stay in-country (DLA Piper, accessed 2026-10-06; CIPESA brief, Nov 2022).

    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 Data Protection Act 2021 permits transfers only with consent plus Commissioner-approved standard contracts or intragroup schemes, on Ministerial prescription, or with Commissioner approval, alongside its localisation rule.

    Sources dlapiperdataprotection.com (opens in a new tab)

  9. I3.9

    Foreign AI surveillance spending

    Evidence found

    IDS/ADRN, Smart City Surveillance in Africa (Wakabi and Roberts eds, March 2026), Table 2 puts the total cost of Zambia's safe city project by 2025 at US$210m (about 1,600 smart cameras). The amended 2015 contract was awarded to ZTE (China), financed by the China Development Bank (US$178.5m) and Citibank Zambia (US$63m), and a US$75m award went to Huawei in 2016.

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

  10. I3.10

    Sovereign cloud initiatives

    Evidence found

    Operational: DCByte (page modified 12 Mar 2025) states that state-owned INFRATEL operates three data centres built for the government's Smart Zambia project through ZICTA. ITWeb (30 Sep 2016) reported the Huawei-built US$75m national data centre, financed by a Chinese concessional loan, was due for completion in early 2017.

    Sources dcbyte.com (opens in a new tab)itweb.africa (opens in a new tab)

P4 · Weight 15% of composite

Human Capital

0.90 / 4Nascent

Fellow-assigned pillar score. Indicators not scored. Southern Africa mean 1.40 · 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 Zambia (ZMB), reference year 2024: 24 publications (2023: 41). 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: 19, 41, 24.

    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 2024-2026 includes digital skills training, and the government plans an AI training centre (Ecofin, 28 Aug 2025). An AI Centre of Excellence was announced at the University of Zambia with Google and ZAMREN in Sep 2024. No running reskilling programme was documented.

    Sources ecofinagency.com (opens in a new tab)cipit.strathmore.edu (opens in a new tab)

  8. H4.8

    Labour transition policy

    Not determined

    On 21 Aug 2025 government and civil society met to discuss AI's effects on governance and employment, and the National AI Strategy 2024-2026 is framed around jobs (Ecofin). No dedicated AI labour-transition framework was identified.

    Sources ecofinagency.com (opens in a new tab)

  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: Bemba (NLLB bem_Latn; Google bem), Nyanja (NLLB nya_Latn; Google ny) and Tumbuka (NLLB tum_Latn; Google, Jun 2024). Tonga (Zambia), Lozi, Kaonde, Lunda and Luvale 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

1.00 / 4Emerging

Fellow-assigned pillar score. Indicators not scored. Southern Africa mean 1.16 · all 54 states mean 1.05.

10 indicators: 1 evidence found, 1 confirmed absence, 8 not determined.

  1. N5.1

    AI companies count

    Evidence found

    TechBehemoths directory (accessed Oct 2026, page undated) states 'There are 4 Companies in Zambia that provide Artificial Intelligence Services'. Directory of self-listed IT service firms: a lower bound, not a census of AI startups.

    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 Zambia 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 count established. Zambia's National AI Strategy 2024-2026 (launched 22 Nov 2024) provides for an Emerging Technologies Centre of Excellence as an AI research hub; no evidence it is operating as an AI incubator/accelerator was found.

    Sources cipit.strathmore.edu (opens in a new tab)zambiamonitor.com (opens in a new tab)

  4. N5.4

    Regulatory sandbox (AI)

    Not determined

    Bank of Zambia (payments, 2021) and Securities and Exchange Commission (capital markets, 2022) run fintech sandboxes; these are NOT AI-specific. 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)connectingafrica.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 ZABS (listed as ISO correspondent member) exists, but Zambia 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 risk-assessment framework identified. The National AI Strategy 2024-2026 references alignment with AU, UNESCO and OECD principles and sets up a National AI Council and sector Technical Working Groups, but specifies no risk-assessment framework.

    Sources cipit.strathmore.edu (opens in a new tab)zambiamonitor.com (opens in a new tab)

  10. N5.10

    University-industry AI partnerships

    Not determined

    Not determined. The National AI Strategy 2024-2026 plans an Emerging Technologies Centre of Excellence bringing stakeholders together for AI research; no signed university-industry agreement was found.

    Sources cipit.strathmore.edu (opens in a new tab)

P6 · Weight 10% of composite

Ethics & Inclusion

1.20 / 4Emerging

Fellow-assigned pillar score. Indicators not scored. Southern Africa mean 1.48 · all 54 states mean 1.26.

10 indicators: 5 evidence found, 2 confirmed absence, 3 not determined.

  1. E6.1

    Algorithmic impact assessment

    Evidence found

    Sector-specific mandatory: Section 46(1) of the Data Protection Act 2021 requires a controller to assess the impact of processing that uses new technologies and is likely to result in high risk before processing. GIRAI 2026 scores Zambia 65.2 on impact assessments citing the Data Protection Act; the National AI Strategy itself specifies no AI risk-assessment framework. This is a DPIA, not an AI-specific assessment.

    Sources zambialii.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 Zambia 64.8 on fairness and non-discrimination, based on the National AI Strategy 2024-2026. 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 (section 62 of the Data Protection Act 2021 and the right to information about the logic involved in automatic processing (dataprotection.africa)), limited to personal-data processing; no AI-specific transparency requirement was found. GIRAI 2026 transparency and explainability score for Zambia: 9.1.

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

  4. E6.4

    Citizen redress mechanism

    Evidence found

    DPA complaint: Section 62(1) of the Data Protection Act No. 3 of 2021 provides that a data subject shall not be subject to a decision based solely on automated processing, including profiling, with legal or similar effects; section 68 lets data subjects lodge complaints with the Data Protection Commissioner. The ODPC was reported fully operational on 10 Apr 2025.

    Sources zambialii.org (opens in a new tab)itedgenews.africa (opens in a new tab)dataprotection.africa (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 Zambia 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 National AI Strategy proposes a National AI Council as 'the central advisory body to the government', to include ministries, academia, private sector, civil society organisations, legal and ethical experts and international bodies. No evidence was found that the Council has been constituted as of Oct 2026, so actual composition and gender balance cannot be assessed.

    Sources api.oecdai.org (opens in a new tab)cipit.strathmore.edu (opens in a new tab)

  7. E6.7

    Global AI governance participation

    Evidence found

    Observer: Zambia 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). Zambia 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. Zambia's strategy commits to align with UNESCO's AI ethics Recommendation and the OECD AI Principles (CIPIT, Mar 2025), and Zambia is listed among members of the Paris Pact for People and the Planet in the Paris statement footnote.

    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

    Evidence found

    Ad hoc consultation: OECD.AI (Apr 2026) records stakeholder consultations and a multi-stakeholder approach including civil society, and government and civil society met on 21 Aug 2025 to discuss AI's effects on governance and employment (Ecofin). The strategy plans civil society seats on the National AI Council, not yet constituted; GIRAI 2026 scores CSO-inclusion mechanisms at 37.5.

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

  9. E6.9

    African ethical framework reference

    Confirmed absence

    No reference: A text search of the National AI Strategy (OECD.AI copy, Apr 2026) found no reference to Ubuntu or African ethical principles; it aligns with the AU Continental AI Strategy, described only as advocating inclusive growth, human rights and ethical standards.

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

  10. E6.10

    Youth participation

    Confirmed absence

    None: The National AI Strategy mentions youth only as a demographic opportunity; its governance structure (National AI Council, Technical Working Groups) includes no youth representation or youth mechanism (text search of OECD.AI copy, Apr 2026).

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

P7 · Weight 10% of composite

Regional Integration

1.20 / 4Emerging

Fellow-assigned pillar score. Indicators not scored. Southern Africa mean 1.62 · all 54 states mean 1.55.

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

  1. R7.1

    AU AI Strategy alignment

    Evidence found

    Alignment process: Zambia's National AI Strategy 2025-2027 (Ministry of Technology and Science) explicitly affirms alignment with the African Union Continental AI Strategy and the UNESCO Recommendation, per a July 2026 comparative analysis; Zambia also signed the Kigali Africa Declaration on AI (4 April 2025), which commits signatories to national AI frameworks aligned with the AU Continental AI Strategy.

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

  2. R7.2

    Kigali Declaration endorsement

    Evidence found

    Endorsed: Zambia 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

    Zambia is a member of SADC (founding 1980) and COMESA (founding 1994). SADC ministers (Bulawayo, 22-26 June 2026) discussed responsible AI adoption in infrastructure and the SADC Secretariat is developing a Regional AI Strategy and Regulatory Framework, but no Zambia-specific participation in REC AI coordination was documented in sources opened.

    Sources en.wikipedia.org (opens in a new tab)sadc.int (opens in a new tab)itweb.africa (opens in a new tab)

  4. R7.4

    Cross-border AI agreements

    Not determined

    No bilateral or multilateral AI governance cooperation agreement involving Zambia 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 Zambia in sources opened as of Oct 2026.

  6. R7.6

    Disinformation response framework

    Evidence found

    Ad hoc: After a deepfake video of President Hichilema circulated in Oct 2023, Zambian police opened an investigation and the ruling UPND condemned the electronically generated voice clips; no dedicated AI-disinformation framework was found in sources opened.

    Sources factcheck.thecable.ng (opens in a new tab)incidentdatabase.ai (opens in a new tab)

  7. R7.7

    AI election incidents documented

    Evidence found

    One documented incident: an AI-generated deepfake video (Oct 2023) falsely showing President Hakainde Hichilema announcing he would not seek re-election in 2026, debunked by fact-checkers and logged as AI Incident Database incident 1022. Incidents around the 13 Aug 2026 general election were not covered in this pass.

    Sources incidentdatabase.ai (opens in a new tab)incidentdatabase.ai (2) (opens in a new tab)factcheck.thecable.ng (opens in a new tab)

  8. R7.8

    Platform content moderation

    Not determined

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

  9. R7.9

    Geneva Dialogue participation

    Evidence found

    Active contributor: Zambia 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. Zambia also delivered the joint statement on behalf of the Group of Friends for International Cooperation on AI Capacity-Building.

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

  10. R7.10

    G20/multilateral AI engagement

    Evidence found

    Active participant: Zambia spoke for the Group of Friends for International Cooperation on AI Capacity-Building at the UN Global Dialogue on AI Governance (July 2026), which suggests a leading role in that group (co-chair status not verified). Zambia is not on the Paris statement (Feb 2025) or the initial New Delhi Declaration endorser list (Feb 2026).

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

P8 · Weight 10% of composite

Implementation & Impact

0.20 / 4Nascent

Fellow-assigned pillar score. Indicators not scored. Southern Africa mean 0.70 · 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

    No budget figure, committed or disbursed, is reported for the National AI Strategy 2024-2026 (Ministry of Technology and Science). OECD.AI also lists no budget, and an AI Centre of Excellence with Google and UNZA was announced in Sep 2024.

    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 prioritises AI-enhanced diagnostics in healthcare, but no health-specific AI regulation was found.

    Sources cipit.strathmore.edu (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 Smart Zambia Institute coordinates AI adoption in government, and a Government Digital Innovation Regulatory Sandbox has existed since 2023.

    Sources cipit.strathmore.edu (opens in a new tab)oecd.ai (opens in a new tab)

  5. M8.5

    AI governance M&E reports

    Not determined

    The strategy includes an M&E framework with performance indicators (CIPIT, 20 Mar 2025), but no published M&E or progress report was located.

    Sources cipit.strathmore.edu (opens in a new tab)

  6. M8.6

    Agriculture AI governance

    Not determined

    The strategy prioritises precision agriculture and pilot projects in agriculture, but no agriculture-specific AI governance provisions were found.

    Sources cipit.strathmore.edu (opens in a new tab)ecofinagency.com (opens in a new tab)

  7. M8.7

    Financial services AI governance

    Not determined

    Finance is a priority sector in the strategy, but no Bank of Zambia AI guidance was located.

    Sources cipit.strathmore.edu (opens in a new tab)

  8. M8.8

    Education AI governance

    Not determined

    The strategy plans AI literacy programmes in year one, and the National School of Government runs 4IR training for public servants (2024). No education-ministry AI guidance was found.

    Sources cipit.strathmore.edu (opens in a new tab)oecd.ai (opens in a new tab)

  9. M8.9

    Measurable governance outcomes

    Not determined

    No documented protective outcome was found; the Data Commissioner's Office is assigned a compliance role in the strategy.

    Sources cipit.strathmore.edu (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: Zambia. Africa AI Governance Index 2026, version 1.2, 7 October 2026. https://www.aipolicy.africa/country-profiles/zambia