AI for Good Foundation

The AI+SDGs Launchpad allows any school, college, university, or research institute to easily create and manage a curriculum that bridges the gap between the “Data-enabled Sciences” and the United Nations’ Sustainable Development Agenda for 2030. The Launchpad is a blueprint for single or multi-semester courses that allow students to engage on global challenges they are passionate about in a structured way.
The AI for Good Foundation provides mentoring connections to NGO’s, government, policy groups, and social benefit corporations, along with data, background research, and a proven course structure that delivers measurable and repeatable exposure to using AI for social good in a collaborative setting.
Our programmes have reached more than 500 students in 5 countries, with collaboration on a range of SDG topics from urban development and media bias, to ocean health. Students connect on an ongoing basis as Launchpad alumni to share ideas and research as they grow in their careers.
Get involved: AI for Good is looking for professors, research, and policy professionals to get involved as project mentors. If you are an organization that trains students from advanced secondary through graduate degrees, get in touch with us to start building your AI+SDG Launchpad.
Select Partners: UC Berkeley, University of Sao Paulo, Queen Mary College London, Carnegie Mellon University, Stanford University, and more.

The AI for Good Foundation collaborates with policy groups, think tanks, and nonprofits to assist in developing AI policy frameworks for regional, national, and international governmental agencies.
These collaborations provide customized recommendations for responsible AI growth and utilization to the organizations and governments with whom we partner. Our passion is to work with developing nations to design national AI policy frameworks by which they can meet the needs of their populace. Additionally, having a national AI policy in place gives developing nations the road map by which to navigate interests from multinational corporations and cross border collaborations.
By sharing our expertise in this format, we are able to further the UN Sustainable Development Goals, as well as demonstrate our “zero-footprint” AI model.
Get involved: Like minded non-profit organizations and policy groups should contact us to consult on AI strategic policy for developing nations and regions. We welcome collaboration with subject matter experts on this complex and evolving issue.
Select Partners: OECD, Tony Blair Institute for Global Change, European Council, International Research Center for AI

The "AI self-assessment tool" is for city administrations to understand the areas where AI will likely affect their specific region and population in the coming years. Our web-based survey generates a series of recommendations specific to the demographics and needs of an urban area.
The recommendations we make come with links to resources and organizations that can help with scalable programme implementation. The goals of this project are two-fold: this easy introductory step can help Intelligent Cities plan for the future and explore how Artificial Intelligent will shape their environment. Second, this initial engagement will lead to more policy engagement, and ecosystem building between local and national governments, AI for Good, and our partners. We will host 'Intelligent Cities' summits where leaders from each city can gather to share knowledge and best practices with their counterparts across the globe.
Get involved: We encourage all cities to take our self-assessment tool as a first step so that we can work together to get you the resources you need to benefit from the potential of Artificial Intelligence technologies. If you are a researcher, NGO, AI service provider, or other organization that has relevant capabilities for emerging intelligent cities, please get in touch so we can unlock more opportunities for cities around the world.

Since 2016 the AI for Good Foundation has organized the Fragile Earth community and associated events, bringing together researchers, subject matter experts, governments, and policy groups to learn and discuss how Artificial Intelligence can help address problems with the Earth’s Biome and threats to its stability.
AI for Good has partnered with IBM, the University of Minnesota, the University of Southern California, Northeastern University, Big Data Hubs, Syngenta, Cargill, the Santa Fe Institute, the ACM, the American Association for the Advancement of Science, and a variety other organizations in order to develop workshops, datasets, community engagement, and research that can have a direct impact on these themes. See our website for past events and more information.
Get involved: Do you have research relevant to the earth’s biomes (oceans, water systems, food security, climate change, geospatial imaging, etc.)? Subscribe to community updates, send us your work to showcase, and get involved in organizing our future workshops and summits.
Select Partners: IBM Research, World Resources Institute, USC Center for AI in Society (CAIS), Cargill, Sustainability and Data Sciences Laboratory (SDS Lab) at Northeastern University, Oak Ridge National Laboratory, and more.

AI for Good and our project partners are leveraging AI and web-scale data to keep track of progress towards the United Nations' Sustainable Development Goals in real time. In partnership with the RISE Research Institutes of Sweden and UNDP, the AI for Good Foundation develops Artificial Intelligence algorithms capable of reading the web at scale, and identifying solutions and progress on the SDG's.
Check out the SDG Trend Scanner Project, and stay tuned for Climate-specific tracking tools, and SDG sub category directed data projects.
Get involved: We seek to collaborate on data, research, and frameworks that can help better track and achieve the SDGs. Contact us if you would like to join our research efforts as a colleague or funding partner.
Select Partners: RISE Research Institutes of Sweden, UNDP, Jozef Stefan Institute

How can we use AI in a way that supports better global healthcare access, research, and systems?
AI for Good and our partners seek to support the Sustainable Development Goals through the lense of lifelong health, healthcare access, and innovative research. This topic is also featured in our policy work for local and national governments. AI for Good considers public health, healthcare systems, and individual health in our customized AI Policy Recommendations.
Get involved: Contact us if you are a researcher or fellow non-profit working on the UN’s health-related SDGs. We welcome opportunities to collaborate to create impactful healthcare innovations. If you are a funding partner interested in applying AI to solve healthcare challenges, we would like to discuss how we can work together.

AI for Good’s Financial Data Science Association organizes international summits and research at the intersection of data, Artificial Intelligence, and global finance. We bring together top leaders across the financial industry to build and share best practices, and accelerate the appropriate use of Artificial Intelligence for increasing financial inclusion, market efficiency, and transparency. Our approach creates buy-in for intelligent innovations from the highest levels of leadership in the financial industry, mobilizing wide-spread change and mitigating often ‘entrenched’ attitudes towards technology-driven innovation.
Get involved: Contact us if you would like to host an FDSA event or support our work in AI-driven change towards more resilient and transparent financial institutions.
Select Partners: University College Dublin, Western Economics Association, JP Morgan, UBS, Banco Bradesco

Modern scientific research for Sustainable Development depends on the availability of large amounts of relevant real-world data. Despite this need, there are currently no extensive global databases that associate existing data sets with the research domains they cover. The SDG Data Catalogue is an open, extensible, global database of data sets, metadata, and research networks built automatically by mining millions of published open access academic works.
The system leverages advancements in Artificial Intelligence (AI) and Natural Language Processing (NLP) technologies to extract and organize deep knowledge of datasets available that is otherwise hidden in plain sight in the continuous stream of research generated by the scientific community. The goal, ultimately, is to connect researchers and students with SDG-relevant datasets so that their work can make meaningful progress towards social good.
Get involved: The AI for Good Foundation is continually looking for researchers and experts in the machine learning field to pool our collective talent in support of the UN’s Sustainable Development Goals. The SDG Data Catalogue is structured so that research and data sets can be submitted and shared. Free flow of knowledge and open source data is at the core of our vision. Contact us to submit your research and to advise on the build out of the search tool.
Select Partners: ACM, INFORMS, UC Berkeley