A new corrigibility research fund managed through Lightcone Infrastructure will distribute at least $200,000 in grants and prizes in 2026 to support research on making AI systems responsive to human correction and control.
The fund's creator argues that alignment research—the work needed to solve core AI safety problems—receives far less funding than other AI safety domains like evaluations and interpretability, making this fund an attempt to address a neglected but critical area.
What happened
A new corrigibility research fund, managed through Lightcone Infrastructure, will award at least $200,000 in grants and prizes during 2026. Roughly half the money will fund traditional grants (with an application deadline of August 23rd), and half will recognize excellent work completed in 2026 via prizes.
Why it matters
The fund's creator argues that alignment research—work aimed at making AI systems corrigible and aligned with human intent—remains severely underfunded relative to other AI safety areas like evals, control, and interpretability. This fund attempts to shift resources toward a research area the creator sees as foundational to solving core AI safety problems.
What to watch
Researchers interested in corrigibility work can apply for grants via email at grants@corrigibilityresearch.org. The first application deadline for grants is August 23rd.
Ask the AI about this article →
The corrigibility research fund reflects a strategic assessment within the AI safety field about where funding gaps exist. The creator notes that despite growth in AI safety attention and funding over recent years, the distribution remains heavily skewed toward certain research domains. Evals (evaluation methods for AI systems), control (techniques to prevent misuse), and interpretability (understanding how AI systems work internally) have attracted substantial resources, but alignment research—the theoretical and practical work on making AI systems corrigible and robustly aligned with human values—has lagged behind. This fund is positioned as a corrective measure, channeling resources toward what the creator sees as foundational work that must precede other safety advances.
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