Why We Exist
Ready or Not, Here AI Comes
AI is already reshaping our world, and ignoring it only raises the risk of harm while missing opportunities for good.
Collaboration & Experimentation Are Non-Negotiable
AI is too big and fast for any single sector—or passive approach—to handle responsibly.
We Need New Ways of Working
The status quo isn't equipped for AI's impacts or complexity. We need new collaboration structures that unite diverse expertise and accelerate bold action.
Some of the most globally significant AI applications start small. Dedicated teams nested deeply within government institutions and local groups like nonprofits, councils, and regional healthcare providers are on the frontlines of challenges that echo worldwide (e.g., access to healthcare, social services, education).
These smaller players understand local needs deeply, but lack the resources, expertise, or influence to experiment with AI. Tech experts, in turn, are often disconnected from local insights and vital channels of impact.
If we bridge these gaps, everyone wins: with the right allies working together, a real-world breakthrough in one region could scale worldwide. If we fail to support cross-sector allies in exploring AI, we're leaving massive social impact on the table, and letting others dictate AI's direction.
AI can help us end poverty and democratize society. If we work proactively, AI will boost our quality of life, lower barriers to economic opportunity, expand access to education and healthcare, and empower everyone to create, access, and harness knowledge.
We achieve this by working together. Government allies become powerful vehicles for impact. Industry scales innovations that solve real problems, while academia and civil society ensure rigor, ethics, and local relevance. This virtuous cycle democratizes AI's advantages and brings real change where it's most needed.
AI mirrors and amplifies the systems it is built for. If we treat AI applications as someone else's responsibility, we will let divides widen. As trailblazers in our communities, industries and regions will charge ahead, defining how things work for the rest of us, the rest of us will be left behind.
Bias and reliability come up a lot with AI, but algorithms aren't everything. We need community representation to reduce bias in where we focus, and community insights for solutions to reliably account for realities of the people they affect.
If governments sit back, communities most in need will pay the price. Vulnerable people facing hardship, distress and disadvantage, reliant on government services, will feel the pain more than anyone if officials apply AI poorly, or not at all. The more Governments lag behind, the more divides will widen.
Collaboration & Experimentation Are Critical
No single sector can address AI's sprawling challenges alone. We must converge our distinct strengths—and do it in a way that embraces hands-on experimentation and iteration over rigid plans.
AI Demands a New Approach
AI evolves rapidly, and building robust systems requires iterative deployment and real-world testing. Rigid, siloed processes—like multi-year processes or waterfall-style projects—create rather than reduce risk, and kill the creativity and agility that success demands.
Learn Fast, Fix Early
Iterative, hands-on trials let us fail small and learn fast, ensuring we fix problems early and refine solutions alongside real users and impacted communities.
Shared Responsibility, Shared Success
Cross-sector collaboration means pooling our diverse expertise and resources to shape, test and refine more effective, more resilient solutions. Done under a shared banner, each time we do so also builds resilience and trust in our ecosystem, transforming how we we can work together into the long term.
Working Together Across Sectors
Our alliance spans every sector. Each of us brings unique strengths and perspectives that are essential for responsible AI development.
Scale & Stewardship
We Need New Ways to Work Together
These challenges show up whenever we try to bring different sectors together. They're not just inconveniences - they're signs that we need new ways of working that fit the unique challenges of ethical AI development.
"So I finally got all the approvals from my department to start the AI ethics collaboration... only to find out we need to restart the entire process because the university's data sharing agreement template 'doesn't have a checkbox for AI projects.'"
"My manager told me to 'be innovative but not too innovative' and 'take risks but make sure nothing can go wrong.' I literally don't know what that means."
"Our team has spent years building relationships with local communities. We know exactly what they need from AI tools. But every time we try to talk to tech companies, they ask how many ML engineers we have on staff..."
Breaking Through With New Ways of Working
The status quo isn't equipped for AI's complexity and pace. We need new collaboration models that unite diverse expertise and accelerate responsible innovation.
A Banner for Bold Action
Our alliance brings together forward-thinking government officials, community champions, industry pioneers, and leading experts across sectors and borders. Our open Memorandum of Understanding creates a shared foundation for action, turning scattered allies and grassroots efforts into a coordinated force for change.
Shared Resources & Capabilities
Pool expertise, data, and funding across sectors so that smaller organizations can participate in AI innovation without risking their core mission or budget.
Community-Driven Design
Ensure solutions are shaped by the communities they serve through genuine co-creation, embedding local knowledge and needs from day one.
Continuous Learning
Build feedback loops between research, development and real-world use, so solutions improve based on actual needs and impacts.
Why This Matters
When we get this right, everyone wins. Government services become more responsive and efficient. Industry builds solutions that solve real problems. Academia's research translates to real impact. And most importantly, communities gain a genuine voice in shaping the AI systems that affect their lives.
Join Us
We're not interested in tweaking the margins. We're creating new ways to work together and turn good intentions into real impact.
Innovators Without Borders
Join allies including...
...and 50+ signatories from governments, industry, academia, and civil society