Bringing the community voice to the conversation about responsible AI adoption. This working session connects community institutions with researchers, public leaders, companies, and funders to advance equitable AI for the public good.
AI should work for more than just powerful institutions; it should work for the communities it serves.
Access is not enough. Community institutions need the resources to deploy AI sustainably and responsibly. This sessions aims to connect communities with the necessary support for responsible implementation and help shape a public guide for adoption.
The gap is not interest. It is implementation.
01
What does responsible adoption look like for an institution without a data science team?
Institutions need practical ways to evaluate AI tools and ensure they are deployed responsibly without becoming expensive to maintain. They also need to address the inevitable hiccups that arise when deploying new technologies. Our session aims to develop long-term solutions and resources for these challenges.
02
How can technical partners support communities without creating dependence?
We should aim to strengthen local owners by providing them with the necessary resources and knowledge to implement AI solutions independently. Technical support should not create dependency but rather empower communities to take ownership of their AI initiatives. Our session will explore ways to provide this sustainable support.
03
Which community problems benefit from AI and which do not?
AI is not a universal solution, and it should not be blindly applied to every problem. We need to identify the specific challenges where AI can provide meaningful benefits and those where it may not be appropriate. Our session will focus on discerning these distinctions and guiding communities in making informed decisions about AI adoption.
Who the gathering is for, And how you can contribute.
01
Community institutions
Bring attention to the practical challenges and needs of the communities you serve.
02
Researchers and technologists
Contribute technical judgment to problems defined by institutions, allowing for a more nuanced understanding of the issues at hand.
03
Companies and technical partners
Offer expertise, infrastructure, mentorship, credits, and expertise to support community initiatives.
04
Foundations and sponsors
Fund community participation, accessibility, and the implementation of community-driven AI solutions.
05
Public leaders
Contribute institutional perspectives to the discussion, potentially influencing policy and decision-making.
06
Educators and youth leaders
Contribute to how AI is taught and used in educational settings, ensuring that it is integrated in a way that is beneficial and responsible.
The gathering will focus on several key areas where community institutions can benefit from AI, while also addressing the challenges and risks associated with its implementation.
01
Community learning
Helping students, educators, families, older adults, and community organizations build the judgment needed to use AI safely and meaningfully.
⌁02
Access to essential information
Exploring how AI might make public information more understandable, multilingual, and accessible without creating new privacy risks.
◎03
Capacity for public institutions
Examining how small organizations can reduce administrative burden and improve services using AI without requiring an internal AI team.
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How the gathering works
The process begins weeks ahead of the session, and the gathering is designed to be highly interactive.
01
Listen
Community institutions surface the challenges and constraints they face.
02
Connect
Researchers, leaders, companies, funders, and practitioners identify where their expertise or resources can help.
03
Design
Participants develop practical pathways to address the challenges identified.
04
Commit
Interested participants establish concrete contributions and partnerships.
05
Continue
The initiative documents lessons learned and shares useful resources publicly.
Intended outcomes
What we hope to make possible
01
A public Community AI Implementation Guide
02
Practical project concepts shaped by community institutions
03
New relationships between community hosts and implementation partners
04
Principles for responsible AI adoption in community institutions
05
A network of committed stakeholders ready to collaborate on AI initiatives
06
Written expressions of interest or commitments
07
Transparent updates after the gathering
Participate
Bring a need. Offer a resource. Help build what comes next.
Path A
Bring a community challenge
For schools, libraries, nonprofits, public agencies, educators, and community groups.
Tell us about a practical need service challenge your institution is navigating.
Path B
Offer support
For researchers, technologists, companies, foundations, public officials, and advisors.
Tell us what expertise, funding, infrastructure, policy perspective, or institutional support you may be able to contribute.
Special inquiries or partnership requests should be directed to info@ai4theworld.org
Stay connected
Get Updated
Follow the gathering as it takes shape. Receive occasional updates on opportunities to contribute, new participants and supporters once confirmed, and the work that continues after the summit.