Partnership

Fostering global collaboration and transparency is vital for harnessing the full potential of AI to benefit society. Inclusive participation from all stakeholders ensures that diverse perspectives and needs are considered, leading to more robust and equitable AI solutions. Open access and transparency in AI development enhance trust and cooperation, enabling communities worldwide to share in the benefits and advancements. These commitments to break the silos underpin our principle of "Partnership’’ to drive collaborative efforts to maximize AI's positive impact to accelerate the SDGs.

All
Multi-Stakeholder Collaboration
Public Sector/Government
Open Access and Transparency

Multi-Stakeholder Collaboration

AI must be developed and deployed with inclusive participation of all stakeholders globally advancing, protecting and preserving diversity.

Multi-Stakeholder Collaboration

OECD AI Policy Observatory

The OECD AI Policy Observatory supports and informs AI policy development through a comprehensive database of AI principles, frameworks, and initiatives. This platform promotes international cooperation by providing tools and metrics for building trustworthy AI systems, fostering transparency, and encouraging inclusive policy-making processes.

Learn More

Multi-Stakeholder Collaboration

The Forum for Cooperation on Artificial Intelligence (FCAI)

The Forum for Cooperation on Artificial Intelligence (FCAI), a collaboration between the Brookings Institution and the Centre for European Policy Studies, hosts regular AI dialogues among high-level officials from seven governments (Australia, Canada, EU, Japan, Singapore, U.K., and the U.S.) as well as experts from industry, civil society, and academia, aimed at identifying opportunities for international cooperation on AI regulation, standards, and research and development. Many of the ideas and policy recommendations from the dialogues are reflected in FCAI reports and blogs.

Learn More

Multi-Stakeholder Collaboration

ITU AI for Good

AI for Good is a global initiative led by the International Telecommunication Union (ITU) in partnership with 40 UN sister agencies and co-convened with Switzerland. Launched in 2017, it aims to "identify practical applications of AI to accelerate progress towards the UN Sustainable Development Goals (SDGs)." The platform connects AI innovators with public and private-sector decision-makers to scale AI solutions globally. AI for Good operates as a "year-round digital platform where AI innovators and problem owners learn, build and connect" to develop AI solutions for sustainable development. The initiative includes an annual Global Summit, weekly programming, and various projects focused on leveraging AI to address global challenges across all 17 SDGs.

Learn More

Public Sector/Government

Public Sector/Government

International Network of AI Safety Institutes

Global leaders from 10 countries and the EU have agreed to launch an international network of AI Safety Institutes, building on the UK's initiative from last year. The "Seoul Statement of Intent toward International Cooperation on AI Safety Science" aims to accelerate the advancement of AI safety science through collaboration. This network will share information about AI models, monitor safety incidents, and promote safe, secure, and trustworthy AI development. The agreement, reached at the AI Seoul Summit, also includes the Seoul Declaration, which emphasizes human-centric, trustworthy, and responsible AI development. This initiative builds on the UK's leadership in AI safety and follows the establishment of similar institutes in countries like the US, Japan, and Singapore.

Learn More

Public Sector/Government

Global Partnership on AI (GPAI)

Launched in June 2020, The Global Partnership on Artificial Intelligence (GPAI) is an integrated partnership that brings together OECD members and GPAI countries to advance an ambitious agenda for implementing human-centric, safe, secure and trustworthy artificial intelligence (AI) embodied in the principles of the OECD Recommendation on AI

Learn More

Public Sector/Government

International Digital Dialogues

The German Federal Ministry for Digital and Transport (BMDV) is committed to creating a common international framework for digital transformation. Its goal is to make the opportunities afforded by digitalization available to everyone and thus contribute to sustainable economic development. BMDV pursues this goal in bilateral Digital Dialogues with important partner countries. They serve to compare digital policy agendas, address specific issues in bilateral economic relations and develop joint positions for multilateral forums.

Learn More

Public Sector/Government

Partnership for Global Inclusivity on AI

The Partnership for Global Inclusivity on AI (PGIAI) is a collaborative initiative launched by the U.S. Department of State and eight major tech companies: Amazon, Anthropic, Google, IBM, Meta, Microsoft, Nvidia, and OpenAI. This partnership commits over $100 million to promote AI development and use in developing countries. The PGIAI focuses on three key areas:
- Compute: Increasing access to AI models, compute credit, and other AI tools
- Capacity: Building human technical capacity
- Context: Expanding local datasets
The initiative aims to unlock AI's potential for sustainable development and improved quality of life in developing nations while maintaining a commitment to safety, security, and trustworthiness in AI systems. PGIAI emphasizes the importance of understanding and respecting diverse cultures, languages, and traditions in developing effective and equitable AI solutions.

Learn More

Public Sector/Government

FAIR Forward

The German Development Cooperation initiative “FAIR Forward – Artificial Intelligence for All” strives for a more open, inclusive and sustainable approach to AI on an international level. To achieve this, FAIR Forward works together with seven partner countries: Ghana, Rwanda, Kenya, South Africa, Indonesia, Uganda and India. Together, they pursue three main goals: 1) Access to Training Data and AI Technologies for Local Innovation, 2) Strengthen local technical know-how on AI, 3) Develop Policy Frameworks for Ethical AI, Data Protection and Privacy. The project is part of the “Digital Transformation for Sustainable Development” program of the German Federal Ministry for Economic Cooperation and Development (BMZ) and implemented by GIZ and part of the AI Strategy of the German Government.

Learn More

Open Access and Transparency

We strive to scale up AI capacity-building and open access to essential AI resources as global digital public goods to promote collaboration, recognizing that AI can best benefit people and the planet when developed cooperatively and openly.

Open Access and Transparency

Open for Good Alliance

The lack of localized training data of sufficient quality is one of the major obstacles for localized AI innovation in Africa and Asia. Therefore, Open for Good focuses on localized training data in Africa, Asia and beyond. Training data that is locally relevant and the related technical questions are often overlooked by initiatives which work on access to AI. Open for Good therefore provides a platform for the coordination and exchange of good practices that is currently needed.

Learn More

Open Access and Transparency

Lacuna Fund

Machine learning has shown great potential to address critical needs, but in low- and middle-income contexts globally, a lack of unbiased, labeled data puts the benefits out of reach. Lacuna Fund is the world’s first collaborative effort to directly address this problem. Guided by machine learning professionals worldwide, Lacuna Fund will provide data scientists, researchers, and social entrepreneurs with the resources they need to either produce new labeled datasets to address an underserved population or problem, augment existing datasets to be more representative, or update old datasets to be more sustainable.

Learn More

Open Access and Transparency

Data Science Africa

Data Science Africa (DSA) is a grassroots organization that provides quality training in data science, machine learning, and other emerging technologies with the aim of leveraging these technologies for the development of solutions to African problems. DSA bridges the gap whereby students at African universities have limited exposure to cutting-edge machine learning and data science. In addition, there were very few events in Africa at which research aimed at developing solutions to African problems using data science was presented.

Learn More

Open Access and Transparency

Mozilla Foundation Common Voice

Common Voice is the most diverse open voice dataset in the world. Most voice datasets are owned by companies, which stifles innovation. They also under-represent almost every language in the world, as well as demographic communities. Common Voice wants to change that by mobilising people everywhere to share their voice.

Learn More

Open Access and Transparency

Zindi Africa

Zindi hosts the largest community of African data scientists, working to solve the world’s most pressing challenges using machine learning and AI. Zindi connects data scientists with organisations, and provides a place to learn, hone skills and find a job. Zindi aims to transform the African continent and showcase African data science talent to the world.

Learn More

Open Access and Transparency

World Bank GeoAI for Urban Growth Prediction

The initiative aims to achieve the following:

1. Using geospatial data and tools to support integrated urban planning;
2. Developing GPSC national planforms to enable public access to reliable and accurate location-based information;
3. Establishing and enhancing urban sustainability indicators in close alignment with the UN Sustainable Development Goal 11.

Learn More

Multi-Stakeholder Collaboration

AI must be developed and deployed with inclusive participation of all stakeholders globally advancing, protecting and preserving diversity.

Multi-Stakeholder Collaboration

OECD AI Policy Observatory

The OECD AI Policy Observatory supports and informs AI policy development through a comprehensive database of AI principles, frameworks, and initiatives. This platform promotes international cooperation by providing tools and metrics for building trustworthy AI systems, fostering transparency, and encouraging inclusive policy-making processes.

Learn More

Multi-Stakeholder Collaboration

The Forum for Cooperation on Artificial Intelligence (FCAI)

The Forum for Cooperation on Artificial Intelligence (FCAI), a collaboration between the Brookings Institution and the Centre for European Policy Studies, hosts regular AI dialogues among high-level officials from seven governments (Australia, Canada, EU, Japan, Singapore, U.K., and the U.S.) as well as experts from industry, civil society, and academia, aimed at identifying opportunities for international cooperation on AI regulation, standards, and research and development. Many of the ideas and policy recommendations from the dialogues are reflected in FCAI reports and blogs.

Learn More

Multi-Stakeholder Collaboration

ITU AI for Good

AI for Good is a global initiative led by the International Telecommunication Union (ITU) in partnership with 40 UN sister agencies and co-convened with Switzerland. Launched in 2017, it aims to "identify practical applications of AI to accelerate progress towards the UN Sustainable Development Goals (SDGs)." The platform connects AI innovators with public and private-sector decision-makers to scale AI solutions globally. AI for Good operates as a "year-round digital platform where AI innovators and problem owners learn, build and connect" to develop AI solutions for sustainable development. The initiative includes an annual Global Summit, weekly programming, and various projects focused on leveraging AI to address global challenges across all 17 SDGs.

Learn More

Public Sector/Government

Public Sector/Government

International Network of AI Safety Institutes

Global leaders from 10 countries and the EU have agreed to launch an international network of AI Safety Institutes, building on the UK's initiative from last year. The "Seoul Statement of Intent toward International Cooperation on AI Safety Science" aims to accelerate the advancement of AI safety science through collaboration. This network will share information about AI models, monitor safety incidents, and promote safe, secure, and trustworthy AI development. The agreement, reached at the AI Seoul Summit, also includes the Seoul Declaration, which emphasizes human-centric, trustworthy, and responsible AI development. This initiative builds on the UK's leadership in AI safety and follows the establishment of similar institutes in countries like the US, Japan, and Singapore.

Learn More

Public Sector/Government

Global Partnership on AI (GPAI)

Launched in June 2020, The Global Partnership on Artificial Intelligence (GPAI) is an integrated partnership that brings together OECD members and GPAI countries to advance an ambitious agenda for implementing human-centric, safe, secure and trustworthy artificial intelligence (AI) embodied in the principles of the OECD Recommendation on AI

Learn More

Public Sector/Government

International Digital Dialogues

The German Federal Ministry for Digital and Transport (BMDV) is committed to creating a common international framework for digital transformation. Its goal is to make the opportunities afforded by digitalization available to everyone and thus contribute to sustainable economic development. BMDV pursues this goal in bilateral Digital Dialogues with important partner countries. They serve to compare digital policy agendas, address specific issues in bilateral economic relations and develop joint positions for multilateral forums.

Learn More

Public Sector/Government

Partnership for Global Inclusivity on AI

The Partnership for Global Inclusivity on AI (PGIAI) is a collaborative initiative launched by the U.S. Department of State and eight major tech companies: Amazon, Anthropic, Google, IBM, Meta, Microsoft, Nvidia, and OpenAI. This partnership commits over $100 million to promote AI development and use in developing countries. The PGIAI focuses on three key areas:
- Compute: Increasing access to AI models, compute credit, and other AI tools
- Capacity: Building human technical capacity
- Context: Expanding local datasets
The initiative aims to unlock AI's potential for sustainable development and improved quality of life in developing nations while maintaining a commitment to safety, security, and trustworthiness in AI systems. PGIAI emphasizes the importance of understanding and respecting diverse cultures, languages, and traditions in developing effective and equitable AI solutions.

Learn More

Open Access and Transparency

FAIR Forward

The German Development Cooperation initiative “FAIR Forward – Artificial Intelligence for All” strives for a more open, inclusive and sustainable approach to AI on an international level. To achieve this, FAIR Forward works together with seven partner countries: Ghana, Rwanda, Kenya, South Africa, Indonesia, Uganda and India. Together, they pursue three main goals: 1) Access to Training Data and AI Technologies for Local Innovation, 2) Strengthen local technical know-how on AI, 3) Develop Policy Frameworks for Ethical AI, Data Protection and Privacy. The project is part of the “Digital Transformation for Sustainable Development” program of the German Federal Ministry for Economic Cooperation and Development (BMZ) and implemented by GIZ and part of the AI Strategy of the German Government.

Learn More

Open Access and Transparency

We strive to scale up AI capacity-building and open access to essential AI resources as global digital public goods to promote collaboration, recognizing that AI can best benefit people and the planet when developed cooperatively and openly.

Open Access and Transparency

Open for Good Alliance

The lack of localized training data of sufficient quality is one of the major obstacles for localized AI innovation in Africa and Asia. Therefore, Open for Good focuses on localized training data in Africa, Asia and beyond. Training data that is locally relevant and the related technical questions are often overlooked by initiatives which work on access to AI. Open for Good therefore provides a platform for the coordination and exchange of good practices that is currently needed.

Learn More

Open Access and Transparency

Lacuna Fund

Machine learning has shown great potential to address critical needs, but in low- and middle-income contexts globally, a lack of unbiased, labeled data puts the benefits out of reach. Lacuna Fund is the world’s first collaborative effort to directly address this problem. Guided by machine learning professionals worldwide, Lacuna Fund will provide data scientists, researchers, and social entrepreneurs with the resources they need to either produce new labeled datasets to address an underserved population or problem, augment existing datasets to be more representative, or update old datasets to be more sustainable.

Learn More

Open Access and Transparency

Data Science Africa

Data Science Africa (DSA) is a grassroots organization that provides quality training in data science, machine learning, and other emerging technologies with the aim of leveraging these technologies for the development of solutions to African problems. DSA bridges the gap whereby students at African universities have limited exposure to cutting-edge machine learning and data science. In addition, there were very few events in Africa at which research aimed at developing solutions to African problems using data science was presented.

Learn More

Open Access and Transparency

Mozilla Foundation Common Voice

Common Voice is the most diverse open voice dataset in the world. Most voice datasets are owned by companies, which stifles innovation. They also under-represent almost every language in the world, as well as demographic communities. Common Voice wants to change that by mobilising people everywhere to share their voice.

Learn More

Open Access and Transparency

Zindi Africa

Zindi hosts the largest community of African data scientists, working to solve the world’s most pressing challenges using machine learning and AI. Zindi connects data scientists with organisations, and provides a place to learn, hone your skills and find a job. Zindi wants to transform the African continent and showcase African data science talent to the world.

Learn More

Open Access and Transparency

World Bank GeoAI for Urban Growth Prediction

Specifcially the organization using AI to achieve the following objectives:

1. Using geospatial data and tools to support integrated urban planning; 2. Developing GPSC national planforms to enable public access to reliable and accurate location-based information;
3. Establishing and enhancing urban sustainability indicators in close alignment with the UN Sustainable Development Goal 11.

Learn More