AI for Good Impact Awards

AI for Good Impact Awards is a global recognition program from the International Telecommunication Union (ITU) that celebrates exceptional AI solutions delivering meaningful real-world impact. Organized under the AI for Good platform, the awards highlight responsible and effective AI applications addressing challenges in human well-being, sustainability, and economic resilience.

Now in its second edition in 2026, the program offers international recognition and visibility for transformative AI innovations. Eligible applicants are organizations worldwide with innovative AI solutions demonstrating measurable impact.

AI for Good Impact Awards - AI for Good AI for Good Impact Awards A global recognition of innovative AI solutions delivering real-world impact Following the success of its first edition, the AI for Good Impact Awards return in 2026 to celebrate exceptional achievements in the field of AI.

Organized by the International Telecommunication Union, the Impact Awards highlight how AI can be applied responsibly and effectively to solve real-world challenges, from improving human well-being to supporting sustainability and economic resilience. By spotlighting transformative AI applications, the Impact Awards offer global recognition for impactful solutions that contribute to a better future for all.

Winners will be honored at the AI for Good Impact Awards Ceremony, held during the 2026 AI for Good Global Summit in Geneva. The AI for Good Impact Awards feature three categories, honoring innovation and impact across various sectors. Empowering individuals and communities through human-centered innovation AI solutions that improve human well-being, enhance inclusion, and expand digital participation.

From healthcare and education to accessibility and equality, these projects show how AI can create meaningful, measurable benefits for people and communities.

Health and well-being (AI for diagnosis, accessibility, assistive technologies) Education and lifelong learning (personalized learning, language inclusion, teacher support) Digital inclusion and equality (gender, disability, vulnerable populations, connectivity access) Poverty reduction and food security (agricultural optimization, resource access) Harnessing AI to protect the environment and advance sustainability AI solutions that safeguard natural ecosystems, promote climate resilience, and support responsible resource use.

From environmental monitoring and renewable energy optimization to biodiversity protection, these projects contribute to a healthier, more sustainable planet for future generations.

Climate change mitigation and adaptation Biodiversity conservation and ecosystem protection Water management, circular economy, and pollution reduction Building resilient and innovative economies through AI AI initiatives that strengthen economies, foster sustainable growth, modernize industries, and enhance governance systems.

From smart cities and industrial innovation to data-driven policy and infrastructure planning, these projects demonstrate how AI can power long-term prosperity, economic progress and institutional resilience.

Sustainable cities and infrastructure Industry and infrastructure innovation (smart manufacturing, logistics, energy efficiency) Governance, justice, and peacebuilding through data-driven insight Screening & shortlisting phase Presentation of the finalists to the public & final judging Awards ceremony during the AI for Good Global Summit Finalists invited to attend the ceremony as winners will be announced on 8 July The solution introduces unique or innovative AI applications, technologies, or approaches to address key challenges.

The solution delivers measurable societal, environmental, or economic benefits, demonstrates clear positive outcomes, and shows strong potential for scaling. Contribution to global challenges The solution clearly aligns with the selected category and contributes to its objectives.

The solution demonstrates responsible and efficient use of resources throughout its conception, development, and deployment, ensuring long-term viability and positive systemic impact. The solution adheres to ethical AI principles, including transparency, respect for privacy, and accountability in its design and deployment.

The solution introduces unique or innovative AI applications, technologies, or approaches to address key challenges. The solution delivers measurable societal, environmental, or economic benefits, demonstrates clear positive outcomes, and shows strong potential for scaling. Contribution to global challenges The solution clearly aligns with the selected category and contributes to its objectives.

The solution demonstrates responsible and efficient use of resources throughout its conception, development, and deployment, ensuring long-term viability and positive systemic impact. The solution adheres to ethical AI principles, including transparency, respect for privacy, and accountability in its design and deployment.

Applications are open to: Small and medium enterprises (SMEs) Academic and research institutions Note: Startups are not eligible for the AI for Good Impact Awards. They are invited to apply to the AI for Good Innovation Factory startup competition. Applications are open to: Small and medium enterprises (SMEs) Academic and research institutions Note: Startups are not eligible for the AI for Good Impact Awards.

They are invited to apply to the AI for Good Innovation Factory startup competition.

Invitation to the AI for Good Global Summit 2026 AI for Good Impact Award trophy Director, African Institute of Data Science and Artificial Intelligence, Full Professor of Computer Science Appointed to the Independent International Scientific Panel on AI Prof Vukosi Marivate is a Professor of Computer Science and holds the ABSA UP Chair of Data Science at the University of Pretoria.

He specialises in developing Machine Learning (ML) and Artificial Intelligence (AI) methods to extract insights from data, with a particular focus on the intersection of ML/AI and Natural Language Processing (NLP). His research is dedicated to improving the methods, tools and availability of data for local or low-resource languages.

As the leader of the Data Science for Social Impact research group in the Computer Science department, Vukosi is interested in using data science to solve social challenges. He has worked on projects related to science, energy, public safety, and utilities, among others. Prof Marivate is a co-founder of Lelapa AI, an African startup focused on AI for Africans by Africans.

Vukosi is a co-founder of the Masakhane Research Foundation, which aims to develop NLP technologies for African languages. Vukosi is also a co-founder of the Deep Learning Indaba, the leading grassroots Machine Learning and Artificial Intelligence conference on the African continent that aims to empower and support African researchers and practitioners in the field.

Professor of Responsible Artificial Intelligence, Department of Computing Science I am Professor of Responsible Artificial Intelligence at the Department of Computing Science at Umeå University, Sweden, where I lead the AI Policy Lab . I am Wallenberg Scholar (2024) and Senior Advisor on AI Policy to the Wallenberg Foundations.

I am a member of the Royal Swedish Academy of Engineering Sciences (IVA), and Fellow of the European Artificial Intelligence Association (EURAI) and of ELLIS (European Laboratory for Learning and Intelligent Systems). I am also Guest Professor at the Civic AI Lab, University of Amsterdam, and Honorary Professoral Fellow at the University of Melbourne.

Given the increasing importance of understanding the societal, ethical, and legal impact of AI, I am deeply involved in international AI governance, policy, and strategy initiatives. I am currently co-chair of the ACM Tech Policy Council, member of UNESCO’s High-Level Expert Group on the Implementation of the UNESCO AI Ethics Recommendation, and member of the OECD Expert Group on AI Futures.

I am also founder of ALLAI, the Dutch AI Alliance, and former member of the United Nations High-Level Advisory Body on AI, the European Commission High-Level Expert Group on Artificial Intelligence, and co-chair of the World Economic Forum Global Future Council on Artificial Intelligence.

As part of UNESCO’s AI Ethics Experts Without Borders, I advise governments worldwide on the development and operationalization of national AI strategies. My research focuses on the interconnections between people, organizations, technology, and policy, with a strong emphasis on responsible and governance-aware AI systems.

My work spans from formal and computational models of agency, norms, and institutions to applied AI policy, evaluation frameworks, and socio-technical system design, combining theory, engineering, and methodological design. I have held major leadership roles in the AI research community, including Program Chair of AAMAS 2024 and Ethics Chair of AAAI 2024, and I currently serve on multiple international advisory boards and expert panels.

In recognition of my work, I am recipient of the AI Policy Leader 2025 Award (CAIDP), AI and Ethics Professional of the Year 2022, and the Medal of Honour of the City of Oeiras (Portugal). I have published over 300 peer-reviewed articles with over 19,000 citations. My newest book, The AI Paradox , is published by Princeton University Press (2026).

I regularly speak internationally on AI ethics, governance, and policy, advise public and private organizations, and contribute to major journals, conferences, and policy processes. I also actively communicate about AI and its societal impact and can be followed on LinkedIn or Bluesky, or through my blog Thinking in Public . Shakir is a scientist and engineer in the fields of statistical machine learning and artificial intelligence.

He is most interested in research that combines multiple disciplines and views of machine learning and its applications. Shakir shapes his efforts around three conceptual pillars: Probabilistic Foundations of Learning and Intelligence, Addressing Global Challenges, and Transformation. He works towards developing methods focussed on probabilistic reasoning that lead to systems for agent-based decision-making.

He works towards the application of machine learning to global challenges in healthcare and environment, and towards social Transformation that supports greater diversity, responsibility, and freedom. Shakir loves exploring and writing about the connections between different computational, epistemological, and social paradigms.

CareNX Innovations Private Limited AI-powered maternal health solutions for safer pregnancies Improving food security, nutrition, and livelihoods through sustainable fisheries and aquaculture Helping smallholder farmers thrive with personalized, real-time AI advice Spring ACT – Action. Compassion. Technology.

Connecting human rights and AI to empower people to take action and eliminate global injustices Deputy Director of TSB | Chief, Study Groups & Policy Department (SPD) , International Telecommunication Union (ITU) Dr Bilel Jamoussi, a distinguished engineer and diplomat, is the Deputy Director of ITU Telecommunication Standardization Bureau and Chief, Study Groups & Policy Department (SPD) in Geneva, Switzerland.

His primary mission is to establish the international standards essential for ensuring global telecommunications and ICT interoperability, promote universal, meaningful connectivity and champion sustainable digital transformation.

Key achievements under his tenure have been important new standards, ensuring increased industry engagement, bolstering cooperation with other standardization bodies, as well as leading in emerging tech discussions and building strategic partnerships. Before 2010, he held executive roles, including Director of Standards for Nortel, and contributed to over 90 international standards bodies.

With a PhD in Computer Engineering from Pennsylvania State University, he is an IEEE Senior Member and has served on the IEEESA Board of Governors. A key voice in the global ICT arena, he is a regular keynote speaker at events like the Global Cybersecurity Forum and is frequently interviewed by top media outlets.

Fluent in Arabic, French, and English, with knowledge in Spanish and German, Bilel’s global perspective has been shaped by living and working in Tunisia, Canada, the USA, and Switzerland.

Director of Institute for AI International Governance, Director of China Institute for Science and Technology Policy, and Co-Director of Global Institute for SDGs Dr. Lan Xue is a Distinguished Professor and Dean at Schwarzman College Tsinghua University. His teaching and research interests include global governance, crisis management, and science, technology and innovation policy.

From 2000 to 2018, he served as Associate Dean, Executive Associate Dean and Dean of the School of Public Policy and Management at Tsinghua University. He also holds adjunct positions at Carnegie Mellon University and the Brookings Institution.

Dr. Xue advises the State Council, chairs China’s National Expert Committee on Next Generation AI governance, and is a member of the Standing Committee of the Chinese Association of Science and Technology. Internationally, he serves on the UN Sustainable Development Solution Network board, UN Committee of Experts on Public Administration, and UN Internet Governance Forum Leadership Panel.

Dr. Xue is a recipient of Distinguished Young Scholar Award from National Natural Science Foundation of China, Cheung Kong Chair Distinguished Professor of the Ministry of Education, the Fudan Distinguished Contribution Award for Management Science, the Distinguished Contribution Award from Chinese Association for Science of Science and S&T Policy, and the Second National Award for Excellence in Innovation in China.

He holds a PhD in Engineering and Public Policy from Carnegie Mellon University. Director - Worldwide Public Sector , Amazon Web Services (AWS) As the Amazon Web Services (AWS) Director for the International Organizations team, Abby Daniell is the executive responsible for the team that drives the digital transformation of organizations such as the United Nations, European Commission, and World Bank.

Prior to this role, Abby led the AWS Latin America, Canada and Caribbean public sector programs team responsible for implementing workforce development, diversity and inclusion, disaster preparedness, sustainability, cybersecurity, and other programs in the Latin America, Canada and Caribbean markets.

With more than 25 years of global private and public sector business experience, she manages AWS teams that enable public sector organizations to expand globally. Abby is quoted in international press and speaks at public sector and industry events regarding cloud technologies and education, innovation, and workforce development.

She previously worked as the commercial director at the U.S. Embassy in Costa Rica where she formed part of the management team and assisted U.S. companies doing business in Latin America. Before joining the U.S. Embassy, Abby was the associate publisher of The Tico Times, Central America’s leading English-language newspaper. She represented the newspaper at the Inter-American Press Association.

She lived and worked in Costa Rica for two decades and is a fluent Spanish-speaking professional. Abby moved to Costa Rica after working as a communications director on Capitol Hill in Washington, D. C.

for a member of congress from Seattle, Washington. She holds a Master of Business Administration from The George Washington University School of Business in Washington, D. C.

and a Bachelor of Arts degree in Political Science from the University of Washington in Seattle. Abby loves the outdoors and is an avid hiker, runner, and PADI certified Open Water Diver. She has served on several nonprofit boards of directors, including the Costa Rican North America Cultural Center.

Corporate Vice President & Chief Data Scientist, AI for Good Lab Juan M, Lavista Ferres is currently the Chief Scientist and Lab Director of the Microsoft AI For Good Research Lab, where he works with a team of data scientists and researchers in AI, Machine Learning and statistical modeling, working across Microsoft AI For Good efforts.

These efforts includes projects in AI For Earth, AI for Humanitarian Action, AI For Accessibility and AI For Health. Juan joined Microsoft in 2009 to work for the Microsoft Experimentation Platform (EXP) where he designed and ran randomized control experiments across different Microsoft groups.

Juan also worked as part of the Bing Data Mining team, where he led a group applying data mining, machine learning, statistical modeling and online experimentation at a large scale as well as providing data services for Bing. Juan started the Microsoft efforts related to SIDS (sudden infant death syndrome), and his work has been published in top academic Journals including Pediatrics.

His work has been covered in New York Times, CNN, Chicago Tribune, USNews, USAToday , and over 100 news outlets around the world. Juan is involved in working to define the data science discipline within Microsoft, and is currently the editor of the Microsoft Journal of Applied Research (MSJAR). Before joining Microsoft, Juan was the CTO and co-founder of alerts.

com. Previously, he spent 6 years in Washington working at the InterAmerican Development Bank applying data science to understand the impact of programs for reducing poverty and inequality in Latin-America and the Caribbean. Juan has two computer science degrees from the Catholic University in Uruguay, and a graduate degree in Data Mining and Machine Learning from Johns Hopkins University.

He lives in Kirkland, WA, with his wife and three children. He has been a speaker in the US at Strata, IEEE, Berkeley, Cornell, and in many countries including Canada, Switzerland, Argentina, Colombia , Costa Rica, and Uruguay, and he also was a TedX Speaker.

, Tech To The Rescue (TTTR) Jacek Siadkowski is the Co-Founder and CEO of Tech To The Rescue (TTTR), a nonprofit foundation and a global movement connecting technology companies ready to work pro-bono with nonprofits to solve critical social challenges. With over 8 years of experience as a social entrepreneur, Jacek has led efforts to bridge the tech and social impact sectors.

Under his leadership, TTTR has grown into a network of over 1,500 tech companies offering pro bono support and 2,000 nonprofits with impactful projects, delivering innovative solutions for poverty, healthcare, education, and climate action across 100+ countries. Named one of Forbes’ 30 young Poles changing the world, Jacek is also an Ashoka Fellow and LinkedIn Top Voice, recognized for inspiring global audiences.

Executive Director, Global ESG and Regulatory Compliance Mary leads the corporate organization responsible for driving Lenovo’s Environmental, Social and Governance (ESG) and Regulatory Compliance programs. In her role, Mary advances Lenovo’s ESG strategy, performance and governance through her regulatory expertise, vision and passion for sustainability.

Under Mary’s leadership, Lenovo became the first PC company with SBTi-validated net-zero targets and has garnered industry-leading ESG recognition including AAA ratings from MSCI. Mary oversees programs supporting the transition to a circular economy, climate change mitigation, ESG risk management and regulatory disclosures.

Mary is most proud of her success in developing a diverse and thriving team focused on promoting meaningful and lasting change, establishing strong ESG governance structures and KPIs, building robust compliance programs in a highly dynamic regulatory environment, and supporting award-winning ESG reporting.

Mary began her career as an engineer with IBM’s Corporate Environmental Affairs organization within its Engineering Center for Environmentally Conscious Products. She then served as the Environmental, Health, and Safety Risk Manager at MIT before joining Lenovo. Her commitment to building organizations dedicated to sustainability and compliance has been the touchstone of her career.

Mary earned a bachelor’s degree in Environmental Science and Policy and a Master of Environmental Management in Resource Economics and Policy, both from Duke University Co-Founder, Co-Lead - Giga , United Nations International Children's Emergency Fund (UNICEF) Chris (@chrisfabian) is a technology executive who co-founded and currently co-leads Giga.

Giga is a partnership between UNICEF and ITU that is working to connect every school in the world to the internet. His career has focused on how the intersection between new technology and global policy can solve the world’s most pressing problems and advance humanity.

He has previously advised two UN Secretary-Generals on new technologies, founded and scaled UNICEF’s Innovation Unit, and worked with Heads of State and Fortune 100 CEOs to invest in responsible, forward-looking technologies. Chris has built, invested in, and mentored technology companies from startup through multiple financing rounds and exits.

He has led teams that developed some of the largest implementations of open-source software in the world, the first public-sector drone/UAV corridors, the first crypto-currency denominated fund in the public sector, and the Digital Public Goods Alliance with the Government of Norway.

He is a Commissioner for the Lancet-Financial Times, an Honorary Scholar at the Chinese Central Academy of Fine Arts, a Board Member of the European Parliament’s STOA Centre for Artificial Intelligence. He was recognized by Time Magazine as one of the “World’s 100 Most Influential People” in 2013 and as one of WIRED’s “25 People Changing the World” in 2019.

, Technology Innovation Institute (TII) Dr. Najwa Aaraj is the Chief Executive Officer (CEO) at Technology Innovation Institute (TII), the applied research pillar of the Advanced Technology Research Council (ATRC), the overarching advanced technology body in Abu Dhabi responsible for driving research and development for transformative technology outcomes.

Previously to her role as CEO, Dr. Aaraj was the Chief Researcher at the Cryptography Research Center (CRC) and the Autonomous Robotics Research Center (ARRC) TII. Dr. Aaraj earned a PhD with Highest Distinction in Applied Cryptography and Embedded Systems Security from Princeton University (USA).

She has extensive expertise in applied cryptography, trusted platforms, security architecture for embedded systems, software exploit detection and prevention systems, and biometrics. She also specializes in shaping the robotics and self-organized autonomous vehicles ecosystem in the UAE and beyond – exploring their application across air, land, on-sea and underwater.

She has over 18 years of experience with global firms, working in multiple geographies from Australia to the United States. Before joining TII, Dr. Aaraj was Senior Vice President of Products & Cryptography Development at DarkMatter, a cyber-security leader based in the UAE. She was formerly at Booz & Company, where she led consulting engagements in the communication and technology industry for clients globally.

She also held a Research Fellow position with the Embedded Systems Security Group at IBM T. J. Watson Security Research in New York State, and with the Intel Security Research Group in Portland, Oregon, where she worked on Trusted Platform Modules and contributed to an early prototype of a TPM 2.

0 based firmware. She also was a Research Staff Member at NEC Laboratories in Princeton, New Jersey. Dr. Aaraj has written multiple conference papers, Institute of Electrical and Electronics Engineers (IEEE) and Association for Computing Machinery (ACM) journal papers and book chapters, and received patents on applied cryptography, embedded system security, and machine learning-based protection of Internet of Things (IoT) systems.

Dr. Aaraj is on the advisory board of New York-based Neutigers, a leading-edge startup revolutionising the next generation of energy/latency-efficient artificial intelligence (AI). She is also Adviser within the Strategic Advisory Group at Paladin Capital Group (Cyber Venture Capital) and Adjunct Professor at the Mohamed Bin Zayed University of Artificial Intelligence (Machine Learning Research Group).

In addition, she is an Adviser to multiple security and Machine Learning startups including Okinawa Institute of Science and Technology Graduate University. She is also a board member of Abu Dhabi Ship Building (ADSB). She received a Special Recognition award at the Arab Woman Awards 2021, held in partnership with the United Nations to recognise the notable achievements of the region’s women.

Additionally, Dr. Aaraj received the Wu Prize of Research Excellence from Princeton University. Discover other AI for Good competitions Canvas of the future is an AI-powered art contest that showcases how AI can expand the possibilities of artistic creation.

The third edition of the contest focuses on how education and work are evolving with the developments of AI, how humans and intelligent systems influence each other, and how creativity can thrive in a world shaped by AI. AI for Good Film Festival The AI for Good Film Festival is a competition showcasing how AI expands creative filmmaking while driving positive impact.

The second edition of the contest invites filmmakers to submit short films created or enhanced with AI. The Innovation Factory is a global pitching competition that spotlights startups developing scalable AI solutions for real- world impact. Through monthly pitching sessions across regions and sectors, innovators showcase how AI can address pressing challenges.

The programme culminates in the Innovation Factory Grand Finale at the AI for Good Global Summit. FAQs Frequently Asked Questions All Eligibility and Application Award Categories and Evaluation Project Requirements Awards and Recognition Other Information All Eligibility and Application Award Categories and Evaluation Project Requirements Awards and Recognition Other Information Who can apply for the AI for Good Impact Awards?

The Awards are open to individuals, SMEs, large corporations, non-profit organizations, academic institutions, and government bodies from around the world. Applicants must be at least 18 years old. Startups and early-stage companies are not eligible for the AI for Good Impact Awards.

We invite them instead to apply for the AI for Good Innovation Factory startup competition. Can we apply if our project is still in the design phase or only an MVP? Yes.

While it’s beneficial to have a fully working solution, early-stage projects such as MVPs (Minimum Viable Products) are welcome to apply, provided you can clearly articulate the potential impact (backed by initial results) the innovation behind your solution, and a clear pathway for scaling. Can one organization submit multiple projects?

One organization can submit more than one application, providing they submit different projects to different categories. I developed this project with partners or collaborators. Who should submit the application?

Collaborative projects are welcome. The primary applicant should be the organization or individual representing the project throughout the Awards process. You can and should credit all relevant collaborators in your application.

They will all be equally recognized as finalists or winners should your project be selected. Only the entity applying will be eligible to receive the physical trophy at the Award ceremony. What needs to be included in the application?

Your application should include a detailed description of your project, measured impact of your solution, supporting documentation, and any optional multimedia materials (e.g., pitch decks, demo videos). All applications must be submitted in English. What are the Award categories?

There are three Award categories: AI for People, AI for Planet, and AI for Prosperity, each focusing on the ethical and impactful use of AI for societal benefit. How many winners will be selected? Is there one per category?

Yes, typically, there will be one winner per category . The exact number may vary at the discretion of the organizers. How are submissions judged?

Projects are evaluated by a panel of experts on innovation, impact, scalability, sustainability, relevance to global challenges, and ethical considerations. A weighted scoring rubric is used to ensure fairness. Do I need to attend the event in person to receive an award?

Finalists are highly encouraged to attend the AI for Good Global Summit, but presence at the event is not mandatory to receive an award. What qualifies a project for the Awards? Incorporate AI as a core component Align with a specific global challenge Be an existing solution with a proven impact (can be an MVP with results and Demonstrate responsible, safe, and sustainable use of AI What if I don’t have demo videos or documents yet?

That’s okay. Explain your current solution and impact via the application form. Your narrative around design, collaboration, and impact is also highly valuable.

A link to a working MVP or solution is also an excellent asset. A trophy and formal recognition Visibility and promotion through AI for Good and Tech To The Rescue channels Will I retain ownership of my project and materials? Yes.

You keep full ownership of your IP. However, by submitting, you grant the organizers the right to use your materials for promotional purposes, with appropriate credit. Where can I find the official rules and deadlines?

You can read the full Terms and Conditions here. Submission opens: 15 January 2026 Deadline: 15 March 2026 at 23:59 CEST Who can I contact for support? For technical help or questions, email: aiawards@itu.

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For important information regarding the classification, please go to the Division’s website and review the last two questions in the Q&A page.

Please be advised that the utilization of this list by AI for Good is exclusively for the purpose of ticketing for the 2024 AI for Good Global Summit, unless otherwise specified Country or Area ISO-alpha2 Code ISO-alpha3 Code Developed / Developing regions Algeria DZ DZA Developing Egypt EG EGY Developing Libya LY LBY Developing Morocco MA MAR Developing Sudan SD SDN Developing Tunisia TN TUN Developing Western Sahara EH ESH Developing British Indian Ocean Territory IO IOT Developing Burundi BI BDI Developing Comoros KM COM Developing Djibouti DJ DJI Developing Eritrea ER ERI Developing Ethiopia ET ETH Developing French Southern Territories TF ATF Developing Kenya KE KEN Developing Madagascar MG MDG Developing Malawi MW MWI Developing Mauritius MU MUS Developing Mayotte YT MYT Developing Mozambique MZ MOZ Developing Réunion RE REU Developing Rwanda RW RWA Developing Seychelles SC SYC Developing Somalia SO SOM Developing South Sudan SS SSD Developing Uganda UG UGA Developing United Republic of Tanzania TZ TZA Developing Zambia ZM ZMB Developing Zimbabwe ZW ZWE Developing Angola AO AGO Developing Cameroon CM CMR Developing Central African Republic CF CAF Developing Chad TD TCD Developing Congo CG COG Developing Democratic Republic of the Congo CD COD Developing Equatorial Guinea GQ GNQ Developing Gabon GA GAB Developing Sao Tome and Principe ST STP Developing Botswana BW BWA Developing Eswatini SZ SWZ Developing Lesotho LS LSO Developing Namibia NA NAM Developing South Africa ZA ZAF Developing Benin BJ BEN Developing Burkina Faso BF BFA Developing Cabo Verde CV CPV Developing Côte d’Ivoire CI CIV Developing Gambia GM GMB Developing Ghana GH GHA Developing Guinea GN GIN Developing Guinea-Bissau GW GNB Developing Liberia LR LBR Developing Mali ML MLI Developing Mauritania MR MRT Developing Niger NE NER Developing Nigeria NG NGA Developing Saint Helena SH SHN Developing Senegal SN SEN Developing Sierra Leone SL SLE Developing Togo TG TGO Developing Anguilla AI AIA Developing Antigua and Barbuda AG ATG Developing Aruba AW ABW Developing Bahamas BS BHS Developing Barbados BB BRB Developing Bonaire, Sint Eustatius and Saba BQ BES Developing British Virgin Islands VG VGB Developing Cayman Islands KY CYM Developing Cuba CU CUB Developing Curaçao CW CUW Developing Dominica DM DMA Developing Dominican Republic DO DOM Developing Grenada GD GRD Developing Guadeloupe GP GLP Developing Haiti HT HTI Developing Jamaica JM JAM Developing Martinique MQ MTQ Developing Montserrat MS MSR Developing Puerto Rico PR PRI Developing Saint Barthélemy BL BLM Developing Saint Kitts and Nevis KN KNA Developing Saint Lucia LC LCA Developing Saint Martin (French Part) MF MAF Developing Saint Vincent and the Grenadines VC VCT Developing Sint Maarten (Dutch part) SX SXM Developing Trinidad and Tobago TT TTO Developing Turks and Caicos Islands TC TCA Developing United States Virgin Islands VI VIR Developing Belize BZ BLZ Developing Costa Rica CR CRI Developing El Salvador SV SLV Developing Guatemala GT GTM Developing Honduras HN HND Developing Mexico MX MEX Developing Nicaragua NI NIC Developing Panama PA PAN Developing Argentina AR ARG Developing Bolivia (Plurinational State of) BO BOL Developing Bouvet Island BV BVT Developing Brazil BR BRA Developing Chile CL CHL Developing Colombia CO COL Developing Ecuador EC ECU Developing Falkland Islands (Malvinas) FK FLK Developing French Guiana GF GUF Developing Guyana GY GUY Developing Paraguay PY PRY Developing Peru PE PER Developing South Georgia and the South Sandwich Islands GS SGS Developing Suriname SR SUR Developing Uruguay UY URY Developing Venezuela (Bolivarian Republic of) VE VEN Developing Kazakhstan KZ KAZ Developing Kyrgyzstan KG KGZ Developing Tajikistan TJ TJK Developing Turkmenistan TM TKM Developing Uzbekistan UZ UZB Developing China CN CHN Developing China, Hong Kong Special Administrative Region HK HKG Developing China, Macao Special Administrative Region MO MAC Developing Democratic People’s Republic of Korea KP PRK Developing