AI for Good Foundation

Let's make AI a force for social impact

aka AI4GOOD   |   Lewes, DE   |


AI for Good Foundation’s purpose is to motivate the research, government, and private industry communities to work together to extend the benefits of artificial intelligence broadly, throughout society. We will encourage AI researchers, to: a) Pursue applications of AI that are being widely beneficial to humans, non-human animals, and the earth's ecology, and b) To develop AI systems that represent or are somehow cognizant of, and deliberately drive towards such good goals. With bringing different stakeholders together, we aim to inspire discussions of maximizing the benefits of AI onto a strong footing with reasoned, logical arguments, and good scientific evidence.

Notes from the nonprofit

AI for Good is driving forward technological solutions that measure and advance the UN's Sustainable Development Goals. We do this by bringing together a broad network of interdisciplinary researchers, nonprofits, governments, and corporate actors to identify, prototype, and scale solutions that engender positive social change.

Ruling year info



James Hodson

Main address

16192 Coastal Highway AI FOR GOOD FOUNDATION

Lewes, DE 19958 USA

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NTEE code info

Public, Society Benefit - Multipurpose and Other N.E.C. (W99)

IRS filing requirement

This organization is required to file an IRS Form 990-N.


Programs and results

What we aim to solve

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Our programs

SOURCE: Self-reported by organization

What are the organization's current programs, how do they measure success, and who do the programs serve?

Workforce, Diversity + AI

In 2019 the AI for Good Foundation conducted a broad assessment of the public perception of Artificial Intelligence as the “Global Perceptions of AI” survey. The study found that many people are concerned and fearful of AI’s impact and believe their jobs to be at risk.
Our scientific research indicates that there is no empirical evidence of negative impacts on labour markets due to the introduction of AI technologies. In fact, there is evidence for a positive and statistically significant impact on employment and firm growth. We see potential for AI to bring transparency to labour markets, hiring practices, and encourage companies to embrace diverse and inclusive workforces. Key program components are:
Research at the interface of labour economics and AI
Open Data, Company Diversity Metrics, and Scorecards
Policy work leveraging AI to boost economic growth
Get involved: Our team spans labour and behavioural economists, AI experts, and policy leaders. We welcome the opportunity to collaborate with subject matter experts to support this program and build it out further, Machine Learning experts to solve hard measurement problems, and ethicists who would like to further explore how Machine Learning methods can impact real world behaviour.
Select Partners: UC Berkeley, Cognism, Fordham University, Genos International, Columbia University, University of Maryland, Kellogg School of Business, and more.

Population(s) Served
Work status and occupations

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.

Population(s) Served
Women and girls
Ethnic and racial groups
Women and girls
Ethnic and racial groups

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

Population(s) Served
Ethnic and racial groups
Economically disadvantaged people
Work status and occupations

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.

Population(s) Served
Work status and occupations

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.

Population(s) Served

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

Population(s) Served

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.

Population(s) Served
Emergency responders
Ethnic and racial groups

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

Population(s) Served

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

Population(s) Served

Where we work

Goals & Strategy

SOURCE: Self-reported by organization

Learn about the organization's key goals, strategies, capabilities, and progress.

Charting impact

Four powerful questions that require reflection about what really matters - results.

The AI for Good Foundation addresses three principal issues that exist today, and that are preventing Artificial Intelligence from having its most beneficial impact on society.

The lack of a common vision in the AI research community, and a fragmented body of scientific work that is difficult to reproduce and build upon;

The absence of mechanisms and forums of communication between researchers, practitioners, policy-makers, and the public, to educate and engage on the opportunities and threats of emerging capabilities, both from a technology and socio-economic perspective;
The unbalanced nature of incentives and funding for Artificial Intelligence research, that end up favoring defense and military applications, at the expense of directly socially beneficial projects;

We believe that Artificial Intelligence is misunderstood, that the various stakeholders do not communicate as well as they should, and that the research efforts need more common ground for sharing and benefiting from the good work that is already happening. We also believe that the solutions need to be global, bringing together people from many different backgrounds, identifying the most promising areas for research and implementation, and being the voice of rationality and data-driven conclusions. As such, we have developed a series of complementary programs, engaging the world's most prominent researchers in the field, and based on a culture of evidence-driven transparency.

Our programs are:

Workshops and Conferences
Host regular workshops and conferences, in partnership with major AI-related conferences, as well as independently in key strategic locations around the world. These events bring together different groups of people from the research, practitioner, and policy communities, along with the general public.

Education Outreach
In collaboration with strategic partners such as (a United Nations Educational, Scientific, and Cultural Organization), among others, we aim for the continuous dissemination of up-to-date studies, statistics, charts, newsletters, and presentations. We try to elucidate the current state of affairs in Artificial Intelligence research and practice, future possibilities, the likely socio-economic impacts of change, and the management of any emerging threats from such capabilities.

We look to harness all relevant social and traditional media platforms, from discussion forums, blogs, social networks, to television, radio, and newspapers. Additionally, we present at appropriate forums nationwide and globally, and host all materials freely on our website and partner websites to encourage access and redistribution.

Standards and Guidelines
Part of building a shared vision and a culture of transparency stems from having common principles that can be followed by the community of researchers and practitioners. Any such guidelines need to be crafted with strong oversight from key stakeholder groups and should outline achievable goals that do not overburden participants.

We aim to propose guidelines for rendering research in Artificial Intelligence more accessible and reproducible. We also aim to propose a code of ethics for the research and practitioner communities that would promote risk-mitigation practices in situations where these would be appropriate. Finally, we may research and offer guidance associated with socio-economic policy direction, where Artificial Intelligence might have an impact.

Tools and Platform
One of the biggest difficulties in the scientific research community is building a strong and coherent body of work that can be leveraged, built upon, and trusted. There is a need for tools, services, and platforms that realign incentives. This will require close collaboration with leading journals and conferences, as well as establishing reputational mechanisms to encourage beneficial behaviors from students and researchers. We have been discussing the blueprints for these systems with various stakeholder groups, and feel ready to begin implementation. These tools and platforms will be managed by the AI for Good Foundation, and access will be free for all.

Local Chapters
In order to engage the widest possible population to disseminate information, encourage transparency, and build a shared vision, we need to create a global community. We encourage local chapters with their own events, projects, and engagement.

How we listen

SOURCE: Self-reported by organization

Seeking feedback from people served makes programs more responsive and effective. Here’s how this organization is listening.

done We shared information about our current feedback practices.
  • How is your organization collecting feedback from the people you serve?

    Electronic surveys (by email, tablet, etc.), Suggestion box/email,

  • How is your organization using feedback from the people you serve?

    To make fundamental changes to our programs and/or operations, To inform the development of new programs/projects, To strengthen relationships with the people we serve,

  • What significant change resulted from feedback?

    We just went through a brand refresh process. Based on feedback from our stakeholders we wanted our new website to appeal to everyone and to show the gender, age, and ethnic diversity within the AI and Machine Learning fields. As an organization that supports the United Nation's 17 Sustainability Goals, connecting with our global partners is vitally important. We want to set an example when it comes to doing good with AI and appreciate any feedback that makes us better.

  • With whom is the organization sharing feedback?

    The people we serve, Our staff, Our board,

  • Which of the following feedback practices does your organization routinely carry out?

  • What challenges does the organization face when collecting feedback?

    It is difficult to get the people we serve to respond to requests for feedback,


AI for Good Foundation

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The people, governance practices, and partners that make the organization tick.


Connect with nonprofit leaders


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Connect with nonprofit leaders


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  • Analyze a variety of pre-calculated financial metrics
  • Access beautifully interactive analysis and comparison tools
  • Compare nonprofit financials to similar organizations

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AI for Good Foundation

Board of directors
as of 02/22/2022
SOURCE: Self-reported by organization
Board chair

Michael Witbrock

AI Foundations Lab at IBM TJ Watson Research Center

James Hodson

AI for Good FOundation

Rayid Ghani

Center for Data Science and Public Policy, Urban Center on Computation and Data, Computation Institute

Marko Grobelnik

Jozef Stefan Institute, Quintelligence, European Commission Digital Champion Slovenia

Claudia Perlich

Two Sigma

Achim Rettinger

Trier University

Abe Hsuan

Irwin & Hsuan LLP

Board leadership practices

SOURCE: Self-reported by organization

GuideStar worked with BoardSource, the national leader in nonprofit board leadership and governance, to create this section.

  • Board orientation and education
    Does the board conduct a formal orientation for new board members and require all board members to sign a written agreement regarding their roles, responsibilities, and expectations? Yes
  • CEO oversight
    Has the board conducted a formal, written assessment of the chief executive within the past year ? No
  • Ethics and transparency
    Have the board and senior staff reviewed the conflict-of-interest policy and completed and signed disclosure statements in the past year? Yes
  • Board composition
    Does the board ensure an inclusive board member recruitment process that results in diversity of thought and leadership? Yes
  • Board performance
    Has the board conducted a formal, written self-assessment of its performance within the past three years? No

Organizational demographics

SOURCE: Self-reported; last updated 1/26/2021

Who works and leads organizations that serve our diverse communities? GuideStar partnered on this section with CHANGE Philanthropy and Equity in the Center.


The organization's leader identifies as:

Race & ethnicity
Gender identity
Sexual orientation
Heterosexual or Straight
Disability status
Decline to state

Race & ethnicity

Gender identity


Sexual orientation


Equity strategies

Last updated: 01/26/2021

GuideStar partnered with Equity in the Center - an organization that works to shift mindsets, practices, and systems to increase racial equity - to create this section. Learn more

  • We review compensation data across the organization (and by staff levels) to identify disparities by race.
  • We ask team members to identify racial disparities in their programs and / or portfolios.
  • We analyze disaggregated data and root causes of race disparities that impact the organization's programs, portfolios, and the populations served.
  • We disaggregate data to adjust programming goals to keep pace with changing needs of the communities we support.
  • We employ non-traditional ways of gathering feedback on programs and trainings, which may include interviews, roundtables, and external reviews with/by community stakeholders.
  • We disaggregate data by demographics, including race, in every policy and program measured.
  • We have long-term strategic plans and measurable goals for creating a culture such that one’s race identity has no influence on how they fare within the organization.
Policies and processes
  • We use a vetting process to identify vendors and partners that share our commitment to race equity.
  • We have a promotion process that anticipates and mitigates implicit and explicit biases about people of color serving in leadership positions.
  • We seek individuals from various race backgrounds for board and executive director/CEO positions within our organization.
  • We have community representation at the board level, either on the board itself or through a community advisory board.
  • We help senior leadership understand how to be inclusive leaders with learning approaches that emphasize reflection, iteration, and adaptability.
  • We measure and then disaggregate job satisfaction and retention data by race, function, level, and/or team.
  • We engage everyone, from the board to staff levels of the organization, in race equity work and ensure that individuals understand their roles in creating culture such that one’s race identity has no influence on how they fare within the organization.