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.
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.
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.
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.
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
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.
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.
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.
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.
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.
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.
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.
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.
Open Access and Transparency
Masakhane
Masakhane is a grassroots organisation whose mission is to strengthen and spur NLP research in African languages, for Africans, by Africans. Despite the fact that 2000 of the world’s languages are African, African languages are barely represented in technology. The tragic past of colonialism has been devastating for African languages in terms of their support, preservation and integration. This has resulted in technological space that does not understand African names, cultures, places, history. The community consists of >1000 participants from 30 African countries with diverse educations and occupations, and >3 countries outside Africa.
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.
Multi-Stakeholder Collaboration
AI must be developed and deployed with inclusive participation of all stakeholders globally advancing, protecting and preserving diversity.
Multi-Stakeholder Collaboration
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
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.
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.
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.
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.
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
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.
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.
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.
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.
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.
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.
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.
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.
Open Access and Transparency
Masakhane
Masakhane is a grassroots organisation whose mission is to strengthen and spur NLP research in African languages, for Africans, by Africans. Despite the fact that 2000 of the world’s languages are African, African languages are barely represented in technology. The tragic past of colonialism has been devastating for African languages in terms of their support, preservation and integration. This has resulted in technological space that does not understand African names, cultures, places, history. The community consists of >1000 participants from 30 African countries with diverse educations and occupations, and >3 countries outside Africa.
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.
Open Access and Transparency
Masakhane
Masakhane is a grassroots organisation whose mission is to strengthen and spur NLP research in African languages, for Africans, by Africans. Despite the fact that 2000 of the world’s languages are African, African languages are barely represented in technology. The tragic past of colonialism has been devastating for African languages in terms of their support, preservation and integration. This has resulted in technological space that does not understand African names, cultures, places, history. The community consists of >1000 participants from 30 African countries with diverse educations and occupations, and >3 countries outside Africa.