We Need A Science of Scheming
Advanced AI systems face strong incentives to scheme. Apollo Research is building a science of scheming to predict and prevent this risk.
January 19, 2026
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Science
We conduct fundamental research into the science of scheming and its potential mitigations. We also develop and run pre-deployment evaluations of frontier AI systems.
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Science of Scheming
Metagaming matters for training, evaluation, and oversight
March 16, 2026
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Science of Scheming
Stress Testing Deliberative Alignment for Anti-Scheming Training
September 17, 2025
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Evaluations
Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety
July 15, 2025
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Evaluations
Research Note: Our scheming precursor evals had limited predictive power for our in-context scheming evals
July 3, 2025
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Evaluations
Claude Sonnet 3.7 (often) knows when it’s in alignment evaluations
March 17, 2025
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Interpretability
Interpretability in Parameter Space: Minimizing Mechanistic Description Length with Attribution-based Parameter Decomposition
February 11, 2025
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Interpretability
Identifying functionally important features with end-to-end sparse dictionary learning
May 30, 2024
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Interpretability
The Local Interaction Basis: Identifying Computationally-Relevant and Sparsely Interacting Features in Neural Networks
May 30, 2024
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Evaluations
Large Language Models can Strategically Deceive their Users when Put Under Pressure
November 9, 2023
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