Country Profile on AI Governance: Togo

Mean of all 10 indicator scores. West Africa mean 1.70 · all 54 states mean 1.76.

1. S1.1

   National AI strategy existence

   Score 1 / 4

   Togo is currently developing a national AI strategy to guide AI use in public administration. A forum was held in Lomé for representatives from ministries, public institutions, and civil society to establish a framework for AI use in government.

   Note: Status is Draft; not yet adopted or implemented.

   Sources togofirst.com (opens in a new tab)

2. S1.2

   Strategy adoption date

   Score 0 / 4

   N/A. The national AI strategy has not yet been formally adopted.

   Note: No adoption date available.

   Scoring basis Threshold applied. Raw value: none (adoption date). No formally adopted national AI strategy.

3. S1.3

   Political commitment signals

   Score 3 / 4

   Minister Cina Lawson has publicly outlined AI priorities at the Regional Summit on Digital Transformation in Cotonou (Nov 2025), focusing on education, infrastructure, and regional coordination. She was also appointed to the Smart Africa AI Council alongside ministers from Algeria, Chad, Kenya, Nigeria, Rwanda, and Zimbabwe.

   Note: High-level political commitment is demonstrated through ministerial leadership and continental council membership.

   Sources togofirst.com (opens in a new tab)

4. S1.4

   Dedicated AI budget allocation

   Score 1 / 4

   No national budget allocation has been announced. However, a $2 million grant from Google.org has been allocated to the Togo Data Lab (TDL) to scale data and AI capacity, including training for university students and government staff.

   Note: Budget is project-based (Google.org grant), not a national allocation.

   Sources cega.berkeley.edu (opens in a new tab)

5. S1.5

   AU Continental AI Strategy alignment

   Score 2 / 4

   Minister Lawson stressed that regional cooperation on AI infrastructure is essential, stating "No country will fund an AI data center alone. We need to work together at the regional level to create a shared cluster." Togo's priorities align with the AU's push for continental collaboration.

   Note: Partial alignment. The focus on regional governance and shared infrastructure indicates alignment with continental AI objectives.

   Sources togofirst.com (opens in a new tab)

6. S1.6

   Multi-stakeholder consultation

   Score 2 / 4

   Formal consultations have been held. A symposium in November 2025 on "Artificial Intelligence and Democratic Governance" brought together representatives from ministries, public institutions, and civil society. The education sector policy process is also stated to be participatory.

   Note: Formal consultations are occurring as part of strategy development.

   Sources togofirst.com (opens in a new tab)

7. S1.7

   Sector prioritisation

   Score 2 / 4

   Publicly stated priorities include education, health, agriculture, and social protection. Minister Lawson announced plans to deploy an AI agent in the school system. The technical education ministry is developing a policy for AI integration into training programs.

   Note: Specific sectors are identified, but lack detailed targets or roadmaps.

   Sources edutech.gouv.tg (opens in a new tab)

8. S1.8

   Implementation roadmap

   Score 1 / 4

   No comprehensive implementation roadmap exists. However, the technical education policy follows a clear timeline: diagnostic phase, strategy document by late 2025, and final text expected in early 2026. Togo has committed to digitizing all ministries within 18 months, which will generate data requiring governance frameworks.

   Note: No national AI implementation roadmap. There is a timeline for the education sector policy.

   Sources edutech.gouv.tg (opens in a new tab)

9. S1.9

   Monitoring and evaluation framework

   Score 0 / 4

   There is no publicly available information on an M&E framework for the national AI strategy.

   Note: No evidence found.

10. S1.10

    Strategy review mechanism

    Score 0 / 4

    No review mechanism is mentioned in available sources.

    Note: No evidence found.

Mean of all 10 indicator scores. West Africa mean 1.18 · all 54 states mean 1.32.

1. G2.1

   AI-specific legislation

   Score 1 / 4

   No dedicated national law specifically regulating AI exists. However, the government is developing a Digital Code to provide a unified legal framework covering AI, cloud computing, e-ambassades, and data protection. The Digital Code is part of Togo's Digital Acceleration Project (PANT) and aims to fill regulatory gaps on AI and related technologies.

   Note: Status: Under discussion. Digital Code in development to structure AI regulation.

   Sources republicoftogo.com (opens in a new tab)

2. G2.2

   Data protection law status

   Score 3 / 4

   Law No. 2019-014 on Personal Data Protection was enacted on 29 October 2019. The Personal Data Protection Authority (IPDCP) is responsible for enforcement. Togo has also enacted Law No. 2018-026 on cybersecurity and cybercrime.

   Note: Enacted with DPA. Data protection law operational.

   Sources numerique.gouv.tg (opens in a new tab)

3. G2.3

   DPA AI mandate

   Score 1 / 4

   The IPDCP is responsible for data protection oversight under Law No. 2019-014, but no explicit AI oversight mandate is documented. The authority appears focused on traditional data protection rather than AI-specific governance.

   Note: DPA exists, no explicit AI mandate.

   Sources numerique.gouv.tg (opens in a new tab)

4. G2.4

   DPA staffing and budget

   Score 0 / 4

   No publicly available information on IPDCP staffing numbers or annual budget.

   Note: No evidence found.

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

5. G2.5

   AI regulatory body existence

   Score 1 / 4

   No dedicated AI governance body has been established. The Ministry of Digital Economy and Digital Transformation leads digital policy. The National Cybersecurity Agency (ANCy) exists for cybersecurity, and the IPDCP exists for data protection, but neither has an explicit AI governance mandate.

   Note: No dedicated AI body.

   Sources numerique.gouv.tg (opens in a new tab)

6. G2.6

   Institutional design model

   Score 1 / 4

   No single AI governance model has been established. Existing institutions operate in separate domains (ANCy for cybersecurity, IPDCP for data protection, Ministry for digital policy). A future Digital Code may clarify institutional roles for AI governance.

   Note: Fragmented model. No co-regulatory or sector-specific AI model formally adopted.

   Sources republicoftogo.com (opens in a new tab)

7. G2.7

   Malabo Convention ratification

   Score 4 / 4

   Togo ratified the Malabo Convention on Cybersecurity and Personal Data Protection. The National Assembly authorized ratification on 29 June 2021. Togo is the ninth African state to ratify, following Angola, Ghana, Guinea-Conakry, Mozambique, Namibia, Rwanda, Senegal, and Mauritius.

   Note: Ratified.

   Sources numerique.gouv.tg (opens in a new tab)

8. G2.8

   Enforcement actions taken

   Score 0 / 4

   No documented AI-specific enforcement actions. The IPDCP has authority to issue sanctions for data protection violations, but no public records indicate enforcement related to AI systems.

   Note: No evidence found.

9. G2.9

   Extraterritorial provisions

   Score 0 / 4

   No evidence of extraterritorial provisions for AI systems. The data protection law (Law No. 2019-014) applies to data processing within Togo.

   Note: No evidence found.

10. G2.10

    IP framework for AI

    Score 0 / 4

    No evidence that IP legislation has been reviewed for AI-generated content. The Digital Code project may address IP issues, but no specific amendments have been identified.

    Note: No evidence found.

Mean of the 9 scored indicators; 1 carries no score. West Africa mean 1.40 · all 54 states mean 1.51.

No score: 1 context only.

1. I3.1

   Data center count

   Score 1 / 4

   Togo has 1 active data center according to Internet Society Pulse data . The Lomé Data Centre (LDC) is Tier III certified with 99.982% SLA availability . Additionally, the "Togo Digital 2025" strategy announced the construction of two new Tier III-certified data centers .

   Note: 1 operational data center; 2 more under construction.

   Scoring basis Threshold applied. Raw value: 1 (data centres).

   Sources pulse.internetsociety.org (opens in a new tab)

2. I3.2

   Data center capacity (MW)

   Score 0 / 4

   No publicly available information on total data center power capacity in megawatts for Togo.

   Note: No evidence found.

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

3. I3.3

   Submarine cable landing points

   Score 2 / 4

   Togo has Google's Equiano submarine cable landing in Lomé . The cable arrived in Lomé in March 2022 as its first landing point in Africa and became operational in August 2023 . Equiano provides 20 times more bandwidth than any other cable serving West Africa .

   Note: 1 major submarine cable landing point with significant capacity.

   Scoring basis Threshold applied. 3 cable systems (TeleGeography, accessed 2026-10-06).

   Sources thecable.ng (opens in a new tab)

4. I3.4

   International bandwidth (Gbps)

   Score 0 / 4

   No specific total international bandwidth figure in Gbps is publicly available for Togo. The Digital Watch Observatory reports 37.62% internet penetration and 1.23 fixed broadband subscriptions per 100 people .

   Note: Exact Gbps figure unavailable.

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

   Sources v45.diplomacy.edu (opens in a new tab)

5. I3.5

   Hyperscaler presence

   Score 1 / 4

   Google has a significant presence through the Equiano subsea cable, which enables cloud services . A partnership between ST Digital and SIN announced in June 2026 aims to position the Lomé Data Centre as a sovereign digital hub with private cloud and AI services . No major hyperscalers (AWS, Azure, Google Cloud) have declared full local zones in Togo as of mid-2026.

   Note: Google provides submarine cable infrastructure; no full hyperscaler local zones.

   Sources developingtelecom.com (opens in a new tab)

6. I3.6

   GPU/HPC access

   Score 0 / 4

   No evidence of GPU or high-performance computing availability for AI research in Togo. The ST Digital-SIN partnership mentions AI services but does not specify HPC/GPU infrastructure .

   Note: No evidence found.

7. I3.7

   Data localisation provisions

   Score 2 / 4

   The ST Digital-SIN private cloud partnership (June 2026) aims to ensure that company data is "hosted, processed and secured on national territory, in strict compliance with Togolese legislation on the protection of personal data" . This is a sovereign cloud initiative supporting data localisation. ARCEP regulates wholesale telecom tariffs, including fiber optic access .

   Note: Sovereign cloud initiative addresses data localisation; no general legal framework yet.

   Sources developingtelecom.com (opens in a new tab)

8. I3.8

   Cross-border data flow framework

   Score 1 / 4

   Togo has not adopted a comprehensive cross-border data transfer framework. The IPDCP (Personal Data Protection Authority) is responsible for data protection enforcement under Law No. 2019-014 . No bilateral or multilateral data transfer agreements are publicly documented.

   Note: No comprehensive cross-border data flow framework.

   Sources v45.diplomacy.edu (opens in a new tab)

9. I3.9

   Foreign AI surveillance spending

   ○Context only: Context flag outside the score

   No documented spending on foreign AI surveillance systems publicly available. Togo has a National Cybersecurity Strategy 2024-2028 and scored 90.06 on the 2024 Global Cybersecurity Index .

   Note: No evidence found.

   Scoring basis Context flag; outside the score. Raw value read from the evidence: "No documented spending on foreign AI surveillance systems publicly available."

   Sources pulse.internetsociety.org (opens in a new tab)

10. I3.10

    Sovereign cloud initiatives

    Score 2 / 4

    A sovereign cloud initiative is under development through the ST Digital and SIN partnership (June 2026), aiming to position the Lomé Data Centre as a sovereign digital hub . The Lomé Data Centre is a Tier III-certified, state-owned facility (Société d'Infrastructures Numériques - SIN) .

    Note: Under development. Sovereign cloud initiative launched via public-private partnership in June 2026.

    Sources developingtelecom.com (opens in a new tab)

Mean of all 10 indicator scores. West Africa mean 1.14 · all 54 states mean 1.20.

1. H4.1

   AI researchers per million

   Score 2 / 4

   World Bank data shows 44.4 researchers per million population in 2022 . UN data confirms ~41.4 per million . No AI-specific count exists.

   Note: Total researchers measured; AI-specific count unavailable

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

   Sources cdn.tradingeconomics.com (opens in a new tab)

2. H4.2

   DPA staff with AI competency

   Score 0 / 4

   No evidence found on IPDCP staff having AI technical skills.

   Note: No information available

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

3. H4.3

   University AI programs

   Score 2 / 4

   University of Lomé and University of Kara are developing data science curricula through Togo Data Lab partnership with UC Berkeley . Campus 42 program launched (2026) for AI, coding, data science . Technical education policy integrating AI being developed .

   Note: Growing but still limited

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

   Sources cega.berkeley.edu (opens in a new tab)

4. H4.4

   African-authored AI publications

   Score 1 / 4

   No specific data found on AI publications with Togolese affiliation. Togo Data Lab and university partnerships may produce publications but not tracked.

   Note: No evidence found

   Scoring basis Threshold applied. 6.7 papers/yr ÷ 8.41m people = 0.79 per million (floors applied).

5. H4.5

   AI patents filed

   Score 0 / 4

   No evidence of AI-related patents filed domestically.

   Note: No information available

   Scoring basis Threshold applied. Raw value: 0 (AI patent applications/year). Raw value read from the evidence: "No evidence of AI-related patents filed domestically." Checked against the evidence on 7 October 2026: confirmed.

6. H4.6

   K-12 CS education

   Score 1 / 4

   No evidence of nationwide K-12 computer science education. Program targets university students initially, with plans to expand to secondary schools later .

   Note: Currently university-focused; K-12 expansion planned

   Sources republicoftogo.com (opens in a new tab)

7. H4.7

   AI workforce training programs

   Score 3 / 4

   National AI training program launched June 2025: pilot targets 15,000 university students in 2025, aims for 50,000 annually . Partnership with Kira Learning (Stanford-affiliated) covers Python, AI, digital English . Togo Data Lab (Google.org $2M grant) to train 100+ students and 70 government data scientists over 2 years . Campus 42 launched 2026 for coding/AI training . Technical education policy integrating AI being developed .

   Note: Multiple programs at scale

   Sources togofirst.com (opens in a new tab)

8. H4.8

   Labour transition policy

   Score 1 / 4

   No formal labour transition policy for AI found. Government emphasizes training to prepare youth for digital jobs .

   Note: No formal policy adopted

   Sources cio-mag.com (opens in a new tab)

9. H4.9

   Informal economy AI assessment

   Score 0 / 4

   No evidence of government assessment on AI's impact on informal economy.

   Note: No information found

10. H4.10

    African language NLP coverage

    Score 0 / 4

    No evidence of NLP/LLM support for Togolese languages found in search results.

    Note: No information available

    Scoring basis Threshold applied. Raw value: 0 of 2 (languages supported / major languages), normalised 0. 0% of major domestic languages. Raw value read from the evidence: "No evidence of NLP/LLM support for Togolese languages found in search results." [denominator (set by the editors, not taken from the profile text): Ewe, Kabiyè. Listed for second-edition review: The Thresholds sheet lists Ewe and Kabiye as covered by NLLB-200, which gives 2 of 2. The count used follows the profile text.

Mean of all 10 indicator scores. West Africa mean 1.04 · all 54 states mean 1.05.

1. N5.1

   AI companies count

   Score 2 / 4

   No official count of AI-specific companies exists. However, Togo's startup ecosystem is growing. The country ranked in Africa's top 5 for startup funding in early 2025 due to Gozem's $30 million raise . Several AI-related startups are emerging, including ThinkFlow (AI study assistant), Koulmed (digital health), and Deremapack .

   Note: AI-specific companies likely under 20; ecosystem still developing

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

   Sources togofirst.com (opens in a new tab)

2. N5.2

   Private AI investment (USD)

   Score 2 / 4

   No separate AI investment figure available. Total startup funding: Gozem (mobility/fintech) raised $30 million in Q1 2025, making Togo the 5th most funded African country that quarter . Overall, 4,262 new enterprises were created in Q1 2025 .

   Note: No AI-specific investment data; ecosystem funding mostly non-AI

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

   Sources togofirst.com (opens in a new tab)

3. N5.3

   AI incubators/accelerators

   Score 3 / 4

   Djanta Tech Hub launched May 2026 - incubation/acceleration for tech startups, aiming to support 72 startups by July 2027 . CUBE incubator running D-CLIC program (OIF) for digital startups including AI . UVI2A incubator (agricultural tech) at ITRA . CAVRIS Fab Lab in Kara . SAEI program (Structures d'Accompagnement à l'Entrepreneuriat et à l'Innovation) launched March 2026 to label and strengthen incubators .

   Note: Several active incubators; not all AI-exclusive

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

   Sources pouvoirsafrique.com (opens in a new tab)

4. N5.4

   Regulatory sandbox (AI)

   Score 1 / 4

   No AI-specific regulatory sandbox found. Training courses on regulatory sandboxes exist in Togo . A comparative analysis of sandboxes in Tanzania, Rwanda, Kenya, and Uganda shows these are being deployed regionally, but no evidence Togo has established one .

   Note: Training exists; sandbox not established

   Sources skillsforafrica.org (opens in a new tab)

5. N5.5

   Government AI procurement

   Score 1 / 4

   No documented government AI procurement from domestic developers. Government is focused on building infrastructure for innovation through initiatives like GRIT conference (Oct 2025) bringing together investors and startups . GeoData portal launched to give startups access to public data .

   Note: No formal procurement framework

   Sources atop.tg (opens in a new tab)

6. N5.6

   AI safety evaluation capacity

   Score 0 / 4

   No evidence of AI safety testing/evaluation facilities in Togo. GRIT event focused on innovation, investment, and ecosystem building, not safety evaluation .

   Note: No evidence found

7. N5.7

   ISO/IEC 42001 adoption

   Score 0 / 4

   No evidence of ISO/IEC 42001 adoption in Togo. Standards body AFNOR (France) has promoted the standard , and Korean certification bodies have implemented schemes , but no Togolese adoption documented.

   Note: No evidence found

8. N5.8

   Standards body AI competency

   Score 1 / 4

   No evidence of national standards body (ANATO - Agence Nationale de la Qualité et du Contrôle) having AI-specific technical committees. The SAEI program involves a partnership with Afric'Innov to align incubator practices with international standards, but not AI-specific .

   Note: Standards body exists; no AI committee found

   Sources radiooreole.tg (opens in a new tab)

9. N5.9

   AI risk assessment frameworks

   Score 0 / 4

   No evidence of sector-specific AI risk assessment frameworks in Togo. Financial sector training on RegTech and FinTech supervision exists , but these are training courses, not regulatory frameworks.

   Note: No evidence found

10. N5.10

    University-industry AI partnerships

    Score 2 / 4

    Togo Data Lab partnership with UC Berkeley (Google.org $2M grant) - trains students and government data scientists . Campus 42 launched 2026 - partnership with AXIAN Group, Réseau 42, and France; trains hundreds annually in AI, data science, programming . UniPod-Togo at University of Lomé houses digital innovation programs . Ministry working with University of Lomé and Kara to strengthen research and innovation culture .

    Note: Formal partnerships with international and domestic partners

    Sources togofirst.com (opens in a new tab)

Mean of all 10 indicator scores. West Africa mean 1.21 · all 54 states mean 1.26.

1. E6.1

   Algorithmic impact assessment

   Score 1 / 4

   No mandatory algorithmic impact assessment exists. National AI strategy being drafted may address this, but currently no formal requirement .

   Note: Strategy in development; no specific IA framework yet

   Sources republiquetogolaise.com (opens in a new tab)

2. E6.2

   Bias audit requirements

   Score 1 / 4

   Discussions on AI governance have explicitly acknowledged risks of algorithmic bias . However, no formal bias audit requirements exist yet.

   Note: Risk identified; no mandatory requirements

   Sources republiquetogolaise.com (opens in a new tab)

3. E6.3

   Transparency obligations

   Score 1 / 4

   Discussions emphasized transparency in decisions and quality of data . Minister Lawson also highlighted the need for clear rules on data access, use, and sharing . No formal transparency requirements established yet.

   Note: Principles discussed but not codified

   Sources togofirst.com (opens in a new tab)

4. E6.4

   Citizen redress mechanism

   Score 0 / 4

   No evidence of formal redress mechanisms for citizens to challenge AI-driven decisions. The IGF forum in June 2026 discussed data governance and digital trust, but no specific complaint channels identified .

   Note: No evidence found

5. E6.5

   Judicial AI remedy

   Score 0 / 4

   No evidence of courts adjudicating AI-related disputes in Togo.

   Note: No evidence found

6. E6.6

   AI advisory body diversity

   Score 1 / 4

   No formal AI advisory body established. Youth engagement has occurred through youth-led forums like Youth IGF Togo (June 2026) and school/university sensitization campaigns (Feb 2026) reaching over 1,200 young people . These represent ad hoc engagement, not a formal governance role.

   Note: Youth engaged in consultations but no formal advisory body

   Sources togofirst.com (opens in a new tab)

7. E6.7

   Global AI governance participation

   Score 2 / 4

   President Faure Gnassingbé attended the AI Global Summit in Kigali (April 2025) . Minister Cina Lawson spoke at the Regional Summit on Digital Transformation in Cotonou (Nov 2025) and emphasized regional collaboration . Togo also participated in the Lomé Peace and Security Forum discussing AI governance . Active observer/participant in global and regional forums.

   Note: Active participation at regional/global level

   Sources theeastafrican.co.ke (opens in a new tab)

8. E6.8

   Civil society AI engagement

   Score 2 / 4

   Civil society participated in the November 2025 symposium on AI and democratic governance organized by the Ministry of Justice . The 2024 IGF forum also involved civil society . The June 2026 IGF continued this multi-stakeholder approach with participants from government, academia, private sector, and technical community . Consultations occur but no ongoing formal advisory mechanism established yet.

   Note: Multiple consultations held; ongoing mechanism not formalised

   Sources republiquetogolaise.com (opens in a new tab)

9. E6.9

   African ethical framework reference

   Score 1 / 4

   Minister Lawson stressed "Africa must make data the engine of its future... without ever surrendering digital sovereignty" . The government also emphasizes preserving democratic principles when integrating emerging technologies . African values and digital sovereignty mentioned, but Ubuntu-style principles not explicitly named.

   Note: African values and sovereignty referenced; Ubuntu not explicitly named

   Sources theeastafrican.co.ke (opens in a new tab)

10. E6.10

    Youth participation

    Score 3 / 4

    Multiple youth engagement initiatives documented: Youth IGF Togo held June 2026 feeding recommendations into national IGF ; school/university sensitization campaign reached over 1,200 young people ; national AI training program targets 50,000 students annually . Youth are actively engaged in consultations but formal decision-making role not yet established.

    Note: Strong youth engagement through consultations and training; decision-making role pending

    Sources togofirst.com (opens in a new tab)

Mean of the 7 scored indicators; 3 carry no score. West Africa mean 1.66 · all 54 states mean 1.55.

No score: 3 not scored (excluded from the mean).

1. R7.1

   AU AI Strategy alignment

   Score 2 / 4

   Togo actively participates in ECOWAS AI initiatives. The country hosted the West African Youth Forum on AI in Lomé (May 2026), part of ECOWAS's 50th anniversary activities. The forum aims to develop policy recommendations for member states on integrating AI literacy into education. Discussions at CRTEL meetings (July 2023) addressed AI governance and the need for harmonized regulation. Togo is included in ECOWAS regional economic outlook for digital infrastructure development. ECOWAS alignment is partial; broader continental commitments also exist.

   Note: Active ECOWAS engagement; full policy alignment not yet formalized

   Sources zawya.com (opens in a new tab)

2. R7.2

   Kigali Declaration endorsement

   Score 3 / 4

   Togo is an active member of UEMOA. The 13th UEMOA Customs Forum was held in Lomé (Oct 2025) focusing on "AI and Customs Administrations: Lever for Efficiency and Regional Integration". The 14th CRTEL meeting in Lomé (July 2023) discussed AI regulation and digital transformation across the UEMOA space. ARCEP-Togo uses AI tools like "MyPerf" for telecom supervision. UEMOA has placed AI regulation at the heart of regional integration.

   Note: Strong UEMOA engagement; harmonized regulatory frameworks under discussion

   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) · uemoa.int (opens in a new tab)

3. R7.3

   REC AI governance coordination

   Score 4 / 4

   Togo is a member of Smart Africa Alliance (40 member countries). Minister Cina Lawson was appointed to the Smart Africa AI Council (Nov 2025), joining ministers from Algeria, Chad, Kenya, Nigeria, Rwanda, and Zimbabwe. The council guides AI policy, standards, and strategies across the continent. Smart Africa aims to create a single digital market in Africa by 2030. EU and Smart Africa partnership supports digital transformation, including AI governance.

   Note: Full membership; Minister holds leadership position on AI Council

   Sources republicoftogo.com (opens in a new tab)

4. R7.4

   Cross-border AI agreements

   Score 2 / 4

   Togo aligns with AU objectives for leveraging AI for socio-economic transformation. The AU Continental AI Strategy (endorsed June 2024, published Aug 2024) encourages member states to develop national AI strategies and governance mechanisms. Togo's active participation in Smart Africa and UEMOA AI forums demonstrates alignment with continental frameworks. Togo is also using AI for social programs (identifying poorest regions for social funds). The AU strategy emphasizes building AI skills, developing datasets, and regional cooperation. Togo's engagement in multiple regional bodies suggests partial-to-full alignment, though a formal AU alignment process is ongoing.

   Note: Partial-to-full alignment; formal implementation mechanisms being developed

   Sources youngafricanpolicyresearch.org (opens in a new tab)

5. R7.5

   Election integrity AI provisions

   Score 3 / 4

   No provision on AI, deepfakes or synthetic media was found in Togo's electoral law or in election guidelines of the electoral commission or the media regulator. On 9 July 2025, days before the municipal elections of 17 July 2025, four ministers issued a public warning against manipulated videos and AI-generated images. The warning cited no legal text.

   Scoring basis Listed for second-edition review: The corrected evidence shows no AI-specific election provision. A score of 3 requires an adopted instrument.

   Editor's note, 7 October 2026: The profile text described digital infrastructure and is removed. The score is retained and listed for second-edition review.

   Sources afrique-sur7.fr (opens in a new tab)

6. R7.6

   Disinformation response framework

   Score 1 / 4

   A general framework exists and nothing in it is specific to AI. Article 25 of Law No. 2018-026 on cybersecurity and cybercrime criminalises spreading false information through a computer system. A November 2018 amendment extended the media regulator's jurisdiction to online media. The fact-checking initiative TogoCheck operates and Africa Check covers Togo.

   Editor's note, 7 October 2026: The profile text described cross-border data transfers and is removed. The score of 1 is retained.

   Sources amnestytogo.org (opens in a new tab) · togofirst.com (opens in a new tab)

7. R7.7

   AI election incidents documented

   Score 3 / 4

   One AI-generated video was documented: a deepfake posted on 17 May 2025 showing the President resigning, which Africa Check debunked on 26 May 2025. No AI incident was found for the legislative and regional elections of 29 April 2024. The only institutional response found is the ministerial warning of 9 July 2025.

   Scoring basis Fellow score kept; no raw value for the threshold. Listed for second-edition review: The corrected evidence shows one incident and an ad hoc response, which the rule scores 2. The score entered is 3.

   Editor's note, 7 October 2026: The profile text described regional partnerships and is removed. The score is retained and listed for second-edition review.

   Sources africacheck.org (opens in a new tab) · afrique-sur7.fr (opens in a new tab)

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.

Mean of all 10 indicator scores. West Africa mean 0.63 · all 54 states mean 0.78.

1. M8.1

   AI governance budget disbursed

   Score 1 / 4

   Togo has received a $2 million grant from Google.org for the Togo Data Lab, which is expected to train over 100 students and 70 government data scientists over two years. However, no specific national AI governance budget allocation has been publicly disclosed or verified as disbursed.

   Note: Project-based grant from Google.org for capacity building; no national budget disbursement figures available

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

   Sources cega.berkeley.edu (opens in a new tab)

2. M8.2

   Health AI regulation

   Score 1 / 4

   Togo's Health Code (2009) regulates software-based medical devices, requiring performance that ensures patient safety. No AI-specific health regulations have been enacted beyond this general framework. Health is identified as a priority sector for AI deployment in ministerial statements.

   Note: General medical device regulation exists; no AI-specific health regulation

   Sources hrcmeetings.ohchr.org (opens in a new tab)

3. M8.3

   Health AI devices approved

   Score 1 / 4

   No formal AI health device approval framework exists. The Togolese Health Code provides a general framework for medical devices but no AI-specific approval pathway has been documented.

   Note: Nascent; general health code framework applies

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

   Sources hrcmeetings.ohchr.org (opens in a new tab)

4. M8.4

   Government AI system registry

   Score 1 / 4

   No government registry of AI systems in use has been established. However, the Togo Data Lab is operational and supports multiple ministries with AI tools, including satellite imagery for agriculture and AI for social program targeting. Government AI deployments exist but are not centrally registered.

   Note: AI systems deployed but no central registry

   Sources cega.berkeley.edu (opens in a new tab)

5. M8.5

   AI governance M&E reports

   Score 0 / 4

   No published M&E reports on AI governance implementation found. National AI strategy is still under development. The Ministry has reported outcomes of the Novissi program and Togo Data Lab activities, but no systematic governance monitoring framework exists.

   Note: No formal M&E reports available

   Scoring basis Threshold applied. Raw value: 0 (reports). Raw value read from the evidence: "No published M&E reports on AI governance implementation found." Checked against the evidence on 7 October 2026: confirmed.

   Sources cega.berkeley.edu (opens in a new tab)

6. M8.6

   Agriculture AI governance

   Score 1 / 4

   Togo is developing an agricultural AI project in partnership with UC Berkeley's CEGA and the Togo Data Lab to use satellite imagery (MOSAIKS tool) to support farmers with crop yield predictions and agricultural policy. No sector-specific AI agriculture legislation exists.

   Note: Active AI deployment in agriculture but no governance framework

   Sources news.berkeley.edu (opens in a new tab)

7. M8.7

   Financial services AI governance

   Score 0 / 4

   No evidence of AI governance provisions specific to financial services found. No central bank guidance, sector regulation, or enforcement related to AI in financial services documented.

   Note: No evidence found

8. M8.8

   Education AI governance

   Score 2 / 4

   Ministry of Technical Education launched a participatory process (Sept 2025) to develop a sectoral AI policy for technical education, with a strategic document expected by late 2025 and final text by early 2026. Minister Lawson has announced plans to deploy an AI agent in the school system as part of broader education sector initiatives. The policy aims to address algorithmic bias, disinformation, and data vulnerability.

   Note: Formal process initiated for education AI policy; under development

   Sources edutech.gouv.tg (opens in a new tab)

9. M8.9

   Measurable governance outcomes

   Score 3 / 4

   Documented AI deployments with measurable outcomes: Novissi program used AI models (satellite imagery + telecom metadata) to identify beneficiaries; delivered ~$10 million in cash transfers to 15% of 920,000 beneficiaries. Togo Data Lab established with 25-person data science unit within the Ministry. Agriculture pilot uses satellite imagery (MOSAIKS) to support farmers. National AI training program targets 50,000 students annually. Demonstrable AI impact in multiple sectors.

   Note: Multiple documented AI deployments with measurable outcomes

   Sources news.berkeley.edu (opens in a new tab)

10. M8.10

    WHO AI health guidance adoption

    Score 0 / 4

    No evidence found of formal adoption of WHO Ethics and Governance of AI for Health guidance. Togo is not included in WHO European Region data set for AI in health, and no African-specific WHO guidance adoption documents were found.

    Note: No evidence found