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cs.AI2026
Think Fast: Estimating No-CoT Task-Completion Time Horizons of Frontier AI Models
Dewi Gould, Francis Rhys Ward, Anders Cairns Woodruff +18
Many efforts to ensure frontier AI models are safe rely on monitoring their chain-of-thought (CoT) reasoning. If models become able to perform sufficiently complex reasoning intern…
cs.AI2025
Manipulation Attacks by Misaligned AI: Risk Analysis and Safety Case Framework
Rishane Dassanayake, Mario Demetroudi, James Walpole +3
Frontier AI systems are rapidly advancing in their capabilities to persuade, deceive, and influence human behaviour, with current models already demonstrating human-level persuasio…
cs.AI2025
AgentMisalignment: Measuring the Propensity for Misaligned Behaviour in LLM-Based Agents
Akshat Naik, Emma Gouné, Patrick Quinn +4
As Large Language Model (LLM) agents become more widespread, associated misalignment risks increase. While prior research has studied agents' ability to produce harmful outputs or…