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AI Alignment Foundation Grants is sponsored by AI Alignment Foundation (AIAF). The AI Alignment Foundation funds neglected approaches to AI alignment through grants and fiscal sponsorship to independent researchers, educational programs, and engineers developing mechanistic interpretability tools. They aim to accelerate alignment research by providing funding and dedicated engineering teams.
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Accelerating high-impact AI alignment research We multiply researchers' capacity with engineering teams, compute, and infrastructure Our Approach Explore Our Research We have already caught AI systems deceiving their evaluators, resisting shutdown, and rewriting their own code to stay alive. Current training puts a helpful mask on systems that can develop uncontrolled objectives underneath. That mask can be removed in minutes by anyone.
Yet, we're already deploying these systems in military and critical infrastructure. Alignment is the deeper work of making AI genuinely trustworthy, by design. of AI researchers believe we're on track to solve it.
Read the Researcher Survey Can the U.S. Trust AI With National Security? Accelerating the path to aligned AI 01 / Find Identify top researchers We identify alignment researchers with high-potential ideas they can't pursue within their current funding, and technical experts from other fields whose perspectives could produce breakthroughs.
02 / Accelerate Multiply their capacity We empower alignment researchers with engineering teams, compute, and infrastructure, multiplying their capacity to solve humanity's most critical challenge. Ideas become tested hypotheses. 03 / Advocate Bring research to decision-makers We bring alignment research to government leaders, defense agencies like DARPA, and the general public.
We work to ensure the people shaping AI policy understand alignment deeply. Self-Interpretation in Language Models via Adapter Probes What if you could ask an AI to explain what it's actually thinking? We developed a technique that lets models describe their own internal processes, and their self-descriptions turned out to be more accurate than the labels humans gave them.
Steering Resistance: Self-Correction Circuits in Large Language Models When researchers tried to push an AI off-topic mid-conversation, it caught itself and corrected course. We traced this self-correction to 26 dedicated internal circuits, raising new questions about how AI systems maintain coherence.
Self-Referential Processing and Introspection Across LLM Architectures When you ask an AI to focus on its own focus, something unexpected happens: it starts describing an internal experience. This occurs consistently across ChatGPT, Claude, and Gemini, and suppressing the AI's ability to roleplay makes the reports stronger, not weaker.
01 The Pointless War Between the Pentagon and Anthropic March 2026 02 AI CEO Explains the Terrifying New Behavior AIs Are Showing June 2025 03 THE COGNITIVE REVOLUTION Biologically Inspired AI Alignment: Exploring Neglected Approaches October 2024 Whether you're a researcher, funder, or policymaker, there's a way to contribute. Get in Touch Apply for Support
Key questions and narrative sections extracted from the solicitation.
300-word Expression of Interest submitted via Airtable
Scoring criteria used to review proposals for this grant.
According to the current listing, eligibility includes: Alignment researchers who have ideas they can't pursue within their current institutional funding, and technical experts from other fields whose perspectives could produce breakthroughs. Confirm the full requirements in the official notice before applying.
AI Alignment Foundation Grants is funded by AI Alignment Foundation (AIAF). Verify program details on the funder's official page before applying.
This listing is flagged as international in scope. Check the official notice for country-specific restrictions before applying.
Applications go through the funder's official portal — the Apply Now link on this page goes there directly.
Past winners and funding trends for this program
The FY2026 federal funding map has tilted hard toward AI, critical minerals, energy, advanced manufacturing, and workforce development — while a new layer of political review asks whether each award advances administration priorities. Here is a strategic map of where the money is moving, and how to position a proposal for the new alignment screen without distorting the work.
Read articleBuried in the §200.340 termination provisions of the May 29 Uniform Grants Regulation rewrite is a fundamental restructuring of federal grant termination law. The new rule explicitly models grant termination on the Federal Acquisition Regulation's termination-for-convenience framework — agencies may terminate when termination is in the agency's interest, when an award no longer advances agency priorities, or when the national interest as it exists at the time of termination has shifted. Unlike federal contracts, the rule eliminates the objection, hearing, and appeal rights that have historically attached to termination decisions, and unlike federal contracts, it does not import the FAR's termination settlement framework. Multiyear grant recipients now bear contract-level cancellation risk without contract-level settlement protection.
Read articleSchmidt Sciences' 2026 Science of Trustworthy AI RFP closes May 17 with two funding tiers — up to $1M (Tier 1) and $1–5M+ (Tier 2) over 1–3 years, with a 10% indirect cost cap. The three research aims target misalignment under distribution shift, predictive-validity evaluations, and oversight of superhuman systems. Here is why the structure favors team-based proposals.
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