Country Profile on AI Governance: Zimbabwe

Mean of all 10 indicator scores. Southern Africa mean 2.04 · all 54 states mean 1.76.

1. S1.1

   National AI strategy existence

   Score 3 / 4

   Zimbabwe National Artificial Intelligence (AI) Strategy 2026 – 2033

2. S1.2

   Strategy adoption date

   Score 1 / 4

   Launch Date: March 14, 2026

   Scoring basis Threshold applied. Adopted 2026-03: 3 months before 2026-06-30.

3. S1.3

   Political commitment signals

   Score 3 / 4

   The strategy was launched by Hon. Tatenda A. Mavetera, Minister of ICT, Postal and Courier Services, at the New Parliament House in Harare (March 2026).The Ministry of ICT is the custodian of the strategy, ensuring that AI governance and development are embedded in national ICT policy.

4. S1.4

   Dedicated AI budget allocation

   Score 2 / 4

   The policy has a National AI Innovation Fund (The “Mugove/Umqele” Fund): Capital for Creation A co-investment fund matching private investment in certified AI start-ups. Independently managed, it provides both funding and accelerator support mentorship, legal aid and networks helping startups scale sustainably.

   Note: The strategy introduces a National AI Innovation Fund (“Mugove/Isabelo” Fund). it also has a Financing and Resource Mobilization Diversified financing strategy: Government budget allocations, private sector contributions, international development partner funding, and innovative financing mechanisms.

5. S1.5

   AU Continental AI Strategy alignment

   Score 4 / 4

   The strategy emphasizes ethical AI, inclusion, governance, skills development, innovation, and public-sector transformation, which closely mirrors priorities of the AU Continental AI Strategy.

   Note: AU requires each member state to adopt a national AI framework. Zimbabwe launched its NAIS in March 2026. Zimbabwe’s framework IS guided by Ubuntu’s to balance innovation with safeguarding human rights and societal values in the digital age. Also has a sectorial approach focusing on agriculture, health, education, mining, finance, SMEs, climate resilience, defence, public. It also focuses building the underlying infrastructure for AI

6. S1.6

   Multi-stakeholder consultation

   Score 3 / 4

   Active engagement in consultations. multi-stakeholder consultation held in Harare on 28 August 2025. The consultation was followed by meetings in major cities such as Bulawayo and Masvingo on 9 and 11 September 2025, respectively, which provided critical refinements to the strategy.

   Sources zbcnews.co.zw (opens in a new tab)

7. S1.7

   Sector prioritisation

   Score 3 / 4

   The strategy identifies agriculture, health, education, finance, mining, manufacturing, energy, SMEs, environment/tourism, defence, and public service as priority sectors. Each is linked to Zimbabwe’s Vision 2030 goals of inclusive growth, resilience, and sovereignty.

   Note: See Strategy document

8. S1.8

   Implementation roadmap

   Score 3 / 4

   iIdentifies a diversified strategy, including a National AI Infrastructure Fund, strategic partnerships, and innovative mechanisms like infrastructure bonds and revenue-sharing agreements, to efficiently mobilize capital and reduce public financial risk.The AI implementation will begin with pilot projects in each sector to showcase value and build expertise, followed by scaling successful initiatives to wider applications and regions. Mature systems will then be integrated across sectors and continuously optimised for maximum impact and efficiency

   Note: A phased approach to implementation, starting with key sectors like agriculture, is recommended.

9. S1.9

   Monitoring and evaluation framework

   Score 2 / 4

   Carbon footprint monitoring and reporting will be mandatory for AI operations. The AI Strategy Implementation Office (AISIO)ensures accountability. The M&E process is a continuous, four-stage cycle (data collection, Data Aggregation and Analysis;Reporting and Dissemination and Review and Adaptive Action) that ensures data flows seamlessly from the operational ground level to the strategic leadership.The “National AI Dashboard” will be used to tracks every KPI in near real-time. This dashboard is the “single source of truth” for all reporting and will provide the analytical tools to identify trends, flag underperformance and diagnose bottlenecks

10. S1.10

    Strategy review mechanism

    Score 3 / 4

    Quarterly Reviews will held to review the AISIO’s strategic briefing. This meeting is the primary forum for course correction. Annual Strategic Review Summit will follow the publication of the Annual Public Report, the NAIC will convene a Strategic Review Summit with all key stakeholders (TWG chairs, Flagship leads, industry and civil society partners). This summit will review the year’s performance and set the key priorities and targets for the following year. Mid-Term Strategy Refresh (End of 2027): At the halfway point of the strategy’s lifecycle, an independent mid term review will be commissioned. This review will assess the continued relevance of the strategy’s core pillars and objectives and will recommend any major structural changes needed for the final push to 2030.

Mean of all 10 indicator scores. Southern Africa mean 1.43 · all 54 states mean 1.32.

1. G2.1

   AI-specific legislation

   Score 3 / 4

   Zimbabwe National Artificial Intelligence (AI) Strategy 2026 – 2030

   Sources veritaszim.net (opens in a new tab)

2. G2.2

   Data protection law status

   Score 3 / 4

   Zimbabwe National Artificial Intelligence (AI) Strategy 2026 – 2030

3. G2.3

   DPA AI mandate

   Score 2 / 4

   Data Protection Authority (DPA): Zimbabwe has a functioning authority the Postal and Telecommunications Regulatory Authority of Zimbabwe (POTRAZ) which enforces the Data Protection Act (2021).The National AI Strategy (2026–2030) assigns AI governance and ethics oversight to new institutions (National AI Innovation Council, AI Strategy Implementation Office). POTRAZ is referenced in the strategy as a partner on data governance and ICT regulation, but it does not have an explicit AI oversight mandate.

   Sources veritaszim.net (opens in a new tab)

4. G2.4

   DPA staffing and budget

   Score 0 / 4

   Data Protection Authority (POTRAZ) does have full-time staff and a regulatory budget, but the AI Strategy (2026–2030) makes clear that AI oversight staffing and financing are ring-fenced elsewhere (AISIO, NAIC, Innovation Fund).The AI Strategy Implementation Office will be Staffed by specialists in project management, policy, artificial intelligence and any other relevant expertise. There is no publicly available evidence of a dedicated AI oversight budget or staffing line.

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

   Sources veritaszim.net (opens in a new tab)

5. G2.5

   AI regulatory body existence

   Score 3 / 4

   The National AI Regulatory Sandbox (The “Innovation Crucible/Umthombo Wolwazi”). This will be a safe Space for bold ideas in a monitored environment in which selected start-ups test AI solutions with temporary regulatory flexibility launched in partnership with the RBZ and POTRAZ.

   Sources veritaszim.net (opens in a new tab)

6. G2.6

   Institutional design model

   Score 4 / 4

   adopts a specialized governance model built around new institutions. This governance structure is composed of three core, interlocking components: The National AI Council (The Strategic Mind), the AI Strategy Implementation Office (The Operational Heart) and the Technical Working Groups (The Expert Hands).

   Sources veritaszim.net (opens in a new tab)

7. G2.7

   Malabo Convention ratification

   Score 2 / 4

   Signed but not ratified

   Sources technomag.co.zw (opens in a new tab)

8. G2.8

   Enforcement actions taken

   Score 0 / 4

   There is no evidence that Zimbabwe has conducted any AI-related enforcement actions to date.

9. G2.9

   Extraterritorial provisions

   Score 3 / 4

   Data Protection Act (2021) Applies to all data controllers and processors operating in Zimbabwe, including foreign AI platforms. All must comply with local data protection, localisation, and ethical standards.

   Sources veritaszim.net (opens in a new tab)

10. G2.10

    IP framework for AI

    Score 0 / 4

    Zimbabwe has not yet reviewed or updated its IP legislation for AI-generated content. The AI Strategy recognises this gap and calls for reform.

    Sources veritaszim.net (opens in a new tab)

Mean of the 8 scored indicators; 2 carry no score. Southern Africa mean 1.77 · all 54 states mean 1.51.

No score: 1 not applicable, 1 context only.

1. I3.1

   Data center count

   Score 2 / 4

   Three only

   Scoring basis Threshold applied. Raw value: 3 (data centres).

2. I3.2

   Data center capacity (MW)

   Score 1 / 4

   Based on the ZIMBABWE DATA CENTER MARKET BRIEFING 2025, total data center power capacity is ~5.5 MW, with ~2 MW already live and the rest in development.

   Note: 5-MW data centre

   Scoring basis Threshold applied. Raw value: 2 (MW).

   Sources newsday.co.zw (opens in a new tab)

3. I3.3

   Submarine cable landing points

   ○N/A: Does not apply to this country

   No evidence of this

   Scoring basis Not applicable; excluded from the pillar mean. Landlocked: excluded from P3 (geography is not governance).

4. I3.4

   International bandwidth (Gbps)

   Score 4 / 4

   ANNUAL POSTAL AND TELECOMMUNICATIONS SECTOR PERFORMANCE REPORT 2024

   Note: 2,072,642Mbps

   Scoring basis Threshold applied. Raw value: 2072.642 (Gbps), normalised 124.6. 2072.64 Gbps ÷ 16.63m = 124.60 Gbps per million.

5. I3.5

   Hyperscaler presence

   Score 4 / 4

   1.Liquid Telecom Zimbabwe 2. Africell Cloud Services 3. TelOne Cloud Solutions 4. Econet Cloud Services 5. ZimSwitch Cloud 6. DataStream Zimbabwe 7. Vast Networks Zimbabwe 8. NedBank Zimbabwe Cloud 9. Sparkle Cloud Zimbabwe 10. ZimTech Cloud Solutions

   Sources data.stateglobe.com (opens in a new tab)

6. I3.6

   GPU/HPC access

   Score 4 / 4

   Zimbabwe Centre for High Performance Computing (ZCHPC) are the custodians of the National High Performance Computing (HPC)/Supercomputing infrastructure. The main HPC Data Centre is located at University of Zimbabwe, Mt. Pleasant, Harare, and consists of GPU, compute, and storage servers, all accessible via a cloud platform.

7. I3.7

   Data localisation provisions

   Score 4 / 4

   in Zimbabwe, cross-border data transfers are no longer a technical issue; they are a core regulatory compliance obligation.The Cyber and Data Protection Act, 2021 (CDPA), together with the 2024 Regulations and the 2025 Implementation Guidelines for Adequate Level of Protection Under Cross-Border Data Transfers (“Guidelines”) issued by POTRAZ, a controlled and prescriptive framework governing international data flows is established.While cross-border transfers are permitted, they are subject to strict conditions, regulatory oversight, and demonstrable accountability.

   Sources astertaxconsulting.com (opens in a new tab)

8. I3.8

   Cross-border data flow framework

   Score 4 / 4

   A cross-border transfer is permitted where the underlying processing is based on a lawful ground and the transfer complies with the conditions set out under the Act and the Guidelines. In practical terms, this requires. (see above)

9. I3.9

   Foreign AI surveillance spending

   ○Context only: Context flag outside the score

   Zimbabwe has no publicly documented USD spending figures on foreign AI surveillance systems. Available evidence shows that foreign-funded surveillance infrastructure (mainly Chinese-backed CCTV and AI-enabled monitoring) has been deployed in urban areas, but official budgetary disclosures do not provide transparent dollar amounts

   Scoring basis Context flag; outside the score.

10. I3.10

    Sovereign cloud initiatives

    Score 2 / 4

    Zimbabwe has already established a Centre for High Performance Computing, a world-class facility, and a nationwide distributed computing architecture which ensures enhanced resilience, accessibility, and resource utilisation. This facility is to be expanded to introduce an open-source cloud platform for AI adoption.( National High-Performance Computing Ecosystem)

    Sources zbcnews.co.zw (opens in a new tab)

Mean of all 10 indicator scores. Southern Africa mean 1.40 · all 54 states mean 1.20.

1. H4.1

   AI researchers per million

   Score 0 / 4

   While the number of AI researchers (computer scientists, data scientists, roboticists, AI ethics researchers) in universities and public research organizations per capita is unknown, Zimbabwe is known to have researchers based abroad who work in these fields.

   Note: Based on the UNESCO ZIMBABWE Artificial Intelligence Readiness Assessment Report 2025

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

2. H4.2

   DPA staff with AI competency

   Score 0 / 4

   There is no published figure on the number of Zimbabwe’s Data Protection Authority staff with demonstrable AI technical skills. Instead, available articles and government documents highlight capacity-building programmes and national strategies aimed at equipping them with AI literacy and technical competencies.

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

   Sources heraldonline.co.zw (opens in a new tab)

3. H4.3

   University AI programs

   Score 2 / 4

   Midlands State University and Africa University.

   Note: ther institutions such as the University of Zimbabwe, NUST, and HIT have strong AI research and computer science programs but do not yet offer standalone AI/ML degrees.

   Scoring basis Threshold applied. Raw value: 2 (universities).

   Sources africau.edu (opens in a new tab)

4. H4.4

   African-authored AI publications

   Score 2 / 4

   There is developing scholarship of AI publications

   Note: Most AI articles are focusing on education, governance, and ethics.

   Scoring basis Threshold applied. 43.3 papers/yr ÷ 16.63m people = 2.61 per million (floors applied).

   Sources taylorfrancis.com (opens in a new tab)

5. H4.5

   AI patents filed

   Score 0 / 4

   No AI-related patents filed

   Scoring basis Threshold applied. Raw value: 0 (AI patent applications/year).

   Sources ourworldindata.org (opens in a new tab)

6. H4.6

   K-12 CS education

   Score 1 / 4

   The National ICT Policy and AI Strategy (2026–2030) emphasize digital skills, but implementation in K-12 is still at pilot stage.

   Note: ome schools offer ICT as electives, and pilot programs in coding/robotics exist, but there is no nationwide mandatory computer science curriculum yet.

   Sources technomag.co.zw (opens in a new tab)

7. H4.7

   AI workforce training programs

   Score 2 / 4

   Zimbabwe’s government is actively supporting AI reskilling and upskilling programs, but they are still in the early rollout phase. The initiatives embedded in the National AI Strategy (2026–2030), mandates AI literacy campaigns, lifelong learning, and specialised training hubs, coordinated by the Ministry of ICT and the Ministry of Skills Audit and Development.

   Note: The Ministry of Skills Audit and Development’s 2024 Report sets the foundation for Zimbabwe’s AI-driven labour market transition. It emphasises reskilling, lifelong learning, and innovation hubs, coordinated through a National Skills Council and aligned with the National AI Strategy (2026–2030).

8. H4.8

   Labour transition policy

   Score 4 / 4

   Zimbabwe’s framework for AI and labour market transition is anchored in the National AI Strategy (2026–2030) and complemented by labour policy interventions.

   Note: focuses on human-centred transitions, AI literacy, reskilling programs, and social dialogue to balance productivity gains with job security and equity.

   Sources zimbabwenow.co.zw (opens in a new tab)

9. H4.9

   Informal economy AI assessment

   Score 2 / 4

   Zimbabwe has not yet produced a formal quantitative study of AI’s impact on the informal economy, but its ministers have acknowledged the risk and framed it as a priority in global labour discussions

   Note: Zimbabwe’s labour market is dominated by informal workers and AI adoption could worsen inequality if not managed carefully. The government's framework aims to ensure “human-centred transitions” in the face of automation. This will ensure that AI adoption does not marginalise informal workers, who make up the majority of the labour force.

   Sources zimbabwenow.co.zw (opens in a new tab)

10. H4.10

    African language NLP coverage

    Score 1 / 4

    Zimbabwe has limited but growing NLP/LLM support for its domestic languages. English is fully supported, while Shona and Ndebele have partial coverage. Other indigenous languages (Chewa, Kalanga, Shangani, Venda, Tonga, Sotho, etc.) have little to no meaningful NLP/LLM integration yet. The National AI policy advocates for the strengthening of Zimbabwe’s cultural identity through AI adoption by supporting cultural industries and local languages (Pillar 3) traditional knowledge (Pillar 4).

    Note: See AI policy

    Scoring basis Threshold applied. Raw value: 2 of 14 (languages supported / major languages), normalised 14.3. 14% of major domestic languages. Raw value read from the evidence: "Shona and Ndebele have partial coverage" [denominator (set by the editors, not taken from the profile text): 15 official languages other than English, excluding. Checked against the evidence on 7 October 2026: confirmed.

    Sources doi.org (opens in a new tab)

Mean of the 9 scored indicators; 1 carries no score. Southern Africa mean 1.16 · all 54 states mean 1.05.

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

1. N5.1

   AI companies count

   Score 2 / 4

   Evidence is varied regarding this. Some articles says that most Zimbabwean start-ups are incorporated in foreign countries because of unfavorable local conditions. See note for additional information.

   Note: Zimbabwe currently has about 45 active AI-focused startups operating in 2026, alongside 20 formally listed AI service companies. The difference reflects that some firms are registered consultancies offering AI services, while others are startups innovating in niche sectors like agriculture, finance, and healthcare.

   Scoring basis Threshold applied. Raw value: 45 (companies).

   Sources povonews.com (opens in a new tab)

2. N5.2

   Private AI investment (USD)

   Score 3 / 4

   .Venture capital remains the primary funding source, accounting for 60% of investments, while government grants contribute USD 20 million to foster innovation.

   Note: Zimbabwe's AI startup ecosystem has seen significant growth in 2026, with total funding reaching USD 150 million. The average funding per startup is approximately USD 1.76 million, indicating maturation and confidence in the sector's potential

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

   Sources data.stateglobe.com (opens in a new tab)

3. N5.3

   AI incubators/accelerators

   Score 3 / 4

   It has three main incubators. In addition, Zimbabwe has another small but growing ecosystem of AI-friendly incubators, mostly concentrated in Harare and Bulawayo. They are not exclusively AI accelerators, but they provide digital innovation support that AI startups can leverage.

   Note: Brainworks Capital Management Zimbabwe, Africa Invictus Capital Zimbabwe, Africa Google for Startups Accelerator Africa, Zimbabwe

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

   Sources africatechschools.com (opens in a new tab)

4. N5.4

   Regulatory sandbox (AI)

   Score 1 / 4

   Zimbabwe has officially introduced an AI-specific regulatory sandbox as part of its National AI Strategy (2026–2030). It is active in principle, designed to allow startups and innovators to test AI products under temporary regulatory flexibility, but it is still in the early rollout phase rather than fully operational.

   Note: National AI Regulatory Sandbox or the Innovation Crucible.

   Sources veritaszim.net (opens in a new tab)

5. N5.5

   Government AI procurement

   ○Not scored: Excluded from the pillar mean

   The Executive Summary of the Zimbabwe National Artificial Intelligence (AI) Strategy highlights flagship initiatives such as the AI Regulatory Sandbox (“Innovation Crucible”) and the National AI Innovation Fund (“Mugove/Isabelo” Fund), both designed to channel government support and procurement toward local startups and developers.

   Scoring basis Not determined; excluded from the pillar mean.

   Sources veritaszim.net (opens in a new tab)

6. N5.6

   AI safety evaluation capacity

   Score 0 / 4

   Zimbabwe does not yet have a standalone AI safety testing or evaluation facility. Instead, safety testing is embedded within the regulatory sandbox and governance frameworks. This means evaluation is happening, but in a policy-driven, pilot-based format rather than through a dedicated physical lab.

   Sources veritaszim.net (opens in a new tab)

7. N5.7

   ISO/IEC 42001 adoption

   Score 0 / 4

   Focuses on Ubuntu-based ethics, regulatory sandbox testing, and national AI councils. It does not yet integrate ISO/IEC 42001 explicitly.

   Sources veritaszim.net (opens in a new tab)

8. N5.8

   Standards body AI competency

   Score 1 / 4

   Zimbabwe’s national standards body (Standards Association of Zimbabwe, SAZ) does not currently have a dedicated AI-specific technical committee. SAZ operates multiple technical committees across ICT, engineering, food safety, and quality management, but AI is addressed indirectly through ICT and data governance standards rather than a standalone AI committee.The national AI Policy says Zimbabwe’s AI governance will be handled by new dedicated bodies (NAIC, AISIO, Ethics Board, Data Agency, sectoral committees).

   Note: Zimbabwe’s standards body (SAZ) has no AI-specific technical committee yet.

   Sources saz.org.zw (opens in a new tab)

9. N5.9

   AI risk assessment frameworks

   Score 3 / 4

   Zimbabwe’s national AI policy does recognise sector-specific risk assessment frameworks, but they are policy-based and overseen by governance bodies. This means agriculture, health, mining, and education will each have tailored risk oversight, coordinated by NAIC and AISIO, with ethical guidance from the AI Ethics Board.

   Sources veritaszim.net (opens in a new tab)

10. N5.10

    University-industry AI partnerships

    Score 4 / 4

    National AI Strategy (2026–2030) explicitly calls for formal AI research partnerships between universities and industry. On the ground, many local universities have formed partnerships with local tech companies and international organisations to foster innovation.

    Sources heraldonline.co.zw (opens in a new tab)

Mean of all 10 indicator scores. Southern Africa mean 1.48 · all 54 states mean 1.26.

1. E6.1

   Algorithmic impact assessment

   Score 0 / 4

   Algorithmic Impact Assessments (AIAs) are not formally required under Zimbabwe’s National AI Strategy (2026–2030).

2. E6.2

   Bias audit requirements

   Score 2 / 4

   The AI policy has a Performance and Accountability section. This oversees monitoring and evaluation (M&E), ensuring robust tracking of the strategy's KPIs and oversees independent audits of AI systems for bias, fairness, and performance.

   Note: Conduct audits of AI systems for bias and performance.

   Sources veritaszim.net (opens in a new tab)

3. E6.3

   Transparency obligations

   Score 3 / 4

   Stakeholder Management and Communications Pillar enables national consensus and maintains transparency around AI initiatives. Stakeholder Engagement Lead, Communications Specialists are tasked with - Running public awareness campaigns on AI benefits and risks. - Manage relationships with the private sector, academia, development partners and civil society. - Create a public-facing portal to showcase AI projects and progress.

   Note: Regular public reporting for transparency is required. Transparency and accountability measures will enable public AI a d emergingsight, AI and emerging

   Sources veritaszim.net (opens in a new tab)

4. E6.4

   Citizen redress mechanism

   Score 4 / 4

   Cyber and Data Protection serves as the Chief Security and Risk Officer, ensuring that all AI and emerging technology initiatives are built on a secure and trustworthy foundation that protects national digital assets and citizens' data privacy.

   Sources veritaszim.net (opens in a new tab)

5. E6.5

   Judicial AI remedy

   Score 0 / 4

   There is no dedicated AI tribunal or specialized legal mechanism in the current policy framework.

6. E6.6

   AI advisory body diversity

   Score 0 / 4

   Mentions gender equality measures for balanced development teams and gender impact assessments.

   Sources veritaszim.net (opens in a new tab)

7. E6.7

   Global AI governance participation

   Score 3 / 4

   Zimbabwe will participate in global AI governance and also help shape it through advancing a fair, ethical and development-driven AI ecosystem for Africa and the world.

   Sources veritaszim.net (opens in a new tab)

8. E6.8

   Civil society AI engagement

   Score 3 / 4

   Local and Community-Level Governance for the Zimbabwe AI policy envisions implementing AI governance with the civil society.The policy also details the role of civil society as an integral part in enhancing AI policy. Based on the policy, Civil society ensures AI serves justice, equity and human dignity. It advocates for marginalised groups, monitors AI use,exposes harm, educates the public and facilitates dialogue between citizens and policymakers. Its role is to hold all actors accountable and ensure progress aligns with shared values. Civil society ensures AI serves justice, equity and human dignity. It advocates for marginalized groups, monitors AI use, exposes harm, educates the public and facilitates dialogue between citizens and policymakers. Its role is to hold all actors accountable and ensure progress aligns with shared values.

   Note: Pillar 6 of the AI policy highlights a strategic International Collaboration and Diplomacy Strategic Objective. Here, Zimbabwe aims to enhance its role in the global AI landscape through strategic partnerships that boost national capabilities, attract investments, amplify its influence in AI governance and secure technology transfer while protecting digital sovereignty. The goal is to establish Zimbabwe as a respected partner within the global AI ecosystem,contributing to and benefiting from international advancements while advocating for an equitable AI order that serves the interests of the Global South.

   Sources veritaszim.net (opens in a new tab)

9. E6.9

   African ethical framework reference

   Score 4 / 4

   The strategy, inspired by Ubuntu, was developed through a collaborative process, fostering national co-creation and inclusivity, recognizing input of all stakeholders.

   Note: Civil Society and Non-Governmental Organizations listed in the policy ; MISA ; Zimbabwe Council of Churches ; Christian Care Masvingo ; Media Houses ; Internet Society ; Computer Society of Zimbabwe

   Sources veritaszim.net (opens in a new tab)

10. E6.10

    Youth participation

    Score 2 / 4

    The policy has an AI-driven transformation to reduce inequality and creates meaningful opportunities for all marginalised communities with a special focus on youth and people with disabilities. Youth-led enterprises will receive targeted support for inclusive growth,innovation, and job creation.

    Note: The framework has Ubuntu-Centred AI Ethics that adopts Ubuntu-based principles for AI development and deployment. The policy will promote Ubuntu, protecting indigenous knowledge, and promoting local languages and cultural heritage.

    Sources veritaszim.net (opens in a new tab)

Score of the only scored indicator; 9 carry no score. Southern Africa mean 1.62 · all 54 states mean 1.55.

No score: 9 not scored (excluded from the mean).

1. R7.1

   AU AI Strategy alignment

   ○Not scored: Excluded from the pillar mean

   No verified evidence found

   Scoring basis Not determined; excluded from the pillar mean.

2. R7.2

   Kigali Declaration endorsement

   Score 3 / 4

   No verified evidence found

   Scoring basis Official signatory list applied. Signatory of the Africa Declaration on AI (Kigali, 4 April 2025), C4IR list: "Endorsed" = 3.

   Sources c4ir.rw (opens in a new tab)

3. R7.3

   REC AI governance coordination

   ○Not scored: Excluded from the pillar mean

   No verified evidence found

   Scoring basis Not determined; excluded from the pillar mean.

4. R7.4

   Cross-border AI agreements

   ○Not scored: Excluded from the pillar mean

   No verified evidence found

   Scoring basis Not determined; excluded from the pillar mean.

5. R7.5

   Election integrity AI provisions

   ○Not scored: Excluded from the pillar mean

   No verified evidence found

   Scoring basis Not determined; excluded from the pillar mean.

6. R7.6

   Disinformation response framework

   ○Not scored: Excluded from the pillar mean

   No verified evidence found

   Scoring basis Not determined; excluded from the pillar mean.

7. R7.7

   AI election incidents documented

   ○Not scored: Excluded from the pillar mean

   No verified evidence found

   Scoring basis Not determined; excluded from the pillar mean. Only evidence is "No verified evidence found", so the institutional response cannot be banded.

8. R7.8

   Platform content moderation

   ○Not scored: Excluded from the pillar mean

   No verified evidence found

   Scoring basis Not determined; excluded from the pillar mean.

9. R7.9

   Geneva Dialogue participation

   ○Not scored: Excluded from the pillar mean

   No verified evidence found

   Scoring basis Not determined; excluded from the pillar mean.

10. R7.10

    G20/multilateral AI engagement

    ○Not scored: Excluded from the pillar mean

    No verified evidence found

    Scoring basis Not determined; excluded from the pillar mean.

Fellow-assigned pillar score. Indicators not scored. Southern Africa mean 0.70 · all 54 states mean 0.78.

No score: 10 not scored (excluded from the mean).

1. M8.1

   AI governance budget disbursed

   ○Not scored: Excluded from the pillar mean

   No verified evidence found

   Scoring basis Not determined; excluded from the pillar mean.

2. M8.2

   Health AI regulation

   ○Not scored: Excluded from the pillar mean

   No verified evidence found

   Scoring basis Not determined; excluded from the pillar mean.

3. M8.3

   Health AI devices approved

   ○Not scored: Excluded from the pillar mean

   No verified evidence found

   Scoring basis Not determined; excluded from the pillar mean.

4. M8.4

   Government AI system registry

   ○Not scored: Excluded from the pillar mean

   No verified evidence found

   Scoring basis Not determined; excluded from the pillar mean.

5. M8.5

   AI governance M&E reports

   ○Not scored: Excluded from the pillar mean

   No verified evidence found

   Scoring basis Not determined; excluded from the pillar mean.

6. M8.6

   Agriculture AI governance

   ○Not scored: Excluded from the pillar mean

   No verified evidence found

   Scoring basis Not determined; excluded from the pillar mean.

7. M8.7

   Financial services AI governance

   ○Not scored: Excluded from the pillar mean

   No verified evidence found

   Scoring basis Not determined; excluded from the pillar mean.

8. M8.8

   Education AI governance

   ○Not scored: Excluded from the pillar mean

   No verified evidence found

   Scoring basis Not determined; excluded from the pillar mean.

9. M8.9

   Measurable governance outcomes

   ○Not scored: Excluded from the pillar mean

   No verified evidence found

   Scoring basis Not determined; excluded from the pillar mean.

10. M8.10

    WHO AI health guidance adoption

    ○Not scored: Excluded from the pillar mean

    No verified evidence found

    Scoring basis Not determined; excluded from the pillar mean.