Back the Human-AI Collaboration Research Initiative

Overview

The Human-AI Collaboration Research Initiative is a focused effort to understand how people and AI systems can work together more effectively, ethically, and safely. This program funds interdisciplinary research and practical experiments that bridge cognitive science, human–computer interaction, machine learning, and policy design. The goal is not to replace human judgment but to augment it with trustworthy, transparent tools that empower teams to make better decisions, solve complex problems, and share learnings broadly.

By supporting this initiative, contributors help turn ideas into action. The work includes developing interactive AI assistants that amplify human reasoning, designing collaboration workflows that respect diverse perspectives, and publishing open results so researchers and practitioners can build on each other’s progress. The initiative also prioritizes accessibility, inclusivity, and global participation so that benefits are shared beyond a single group or region.

Why Your Support Matters

Advancing human–AI collaboration requires sustained, thoughtful investment. Your support unlocks opportunities that would be difficult to achieve through individual grants or sporadic sponsorships alone. The initiative prioritizes outcomes that are measurable, scalable, and inclusive.

Practical impact — funding accelerates experiments that test collaboration models in real-world settings, yielding usable tools and approaches for teams across sectors.
Open science and reproducibility — results, datasets, and software are shared openly to invite critique, verification, and extension by researchers worldwide.
Community and capacity building — the initiative supports training, internships, and cross-disciplinary collaboration to grow a diverse ecosystem of practitioners.
Ethics and safety — emphasis on human-centered design, transparency, and governance to keep human oversight central in AI-enabled work.
Global access — outreach and translation efforts help ensure insights reach researchers and organizations outside traditional tech hubs.

How Donations Are Used

Donations are allocated to a balanced mix of research, tooling, outreach, and governance. This structure ensures steady progress while maintaining openness and accountability. Allocation decisions are reviewed periodically to reflect milestones, learnings, and community input.

Research and experiments — funding for studies that explore collaboration patterns, user interfaces, and decision-support systems that enhance human judgment when working with AI.
Infrastructure and tooling — support for open-source platforms, data pipelines, hosting, and collaboration tooling that enables reproducible work.
Outreach and education — resources for workshops, tutorials, and partnerships with universities and community groups to broaden participation.
Open data and publication — efforts to publish results in accessible formats, create reusable datasets, and share methodological details.
Governance and transparency — ongoing reporting, audits, and public dashboards to maintain trust with the donor and research communities.

Latest Updates

Public updates will be shared as milestones are reached. At this time, the initiative is in a staging phase focused on establishing governance, forming partnerships, and shaping a comprehensive research agenda. Donors will receive periodic progress notes and impact summaries as the work advances.

Community Voices

As this initiative grows, the experiences and perspectives of researchers, practitioners, and educators will shape its direction. Feedback from the broader community is welcomed and will be reflected in annual impact reports and open forums.

Transparency & Trust

Transparent stewardship is a core value. The initiative maintains open practices designed to build confidence among supporters and collaborators. Public progress updates, accessible research outputs, and clear governance processes help ensure responsible use of resources.

Public impact reporting — regular summaries of what has been achieved and what remains ahead, shared with supporters and participants.
Open governance — decision-making processes designed to be inclusive and auditable by the community.
Data and privacy — careful handling of data with privacy protections and ethical standards embedded in every project.
Accessible results — research findings and tools released under licenses that support reuse and extension by others.

Join the Community

Your involvement matters beyond financial support. By contributing, you join a growing community of researchers, developers, educators, and visionaries who believe in responsible, human-centered AI progress. Together, we can advance methods and tools that help people work better with intelligent systems, while keeping human judgment and values at the core.

Support this Initiative

Choose a donation method to contribute. Each option supports the same mission and helps accelerate impact in different ways. Thank you for joining the effort and helping to sustain thoughtful, collaborative AI research.

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💠 Back the Human-AI Collaboration Research Initiative