SOURCE-LINKED INTELLIGENCE
AI Alignment through a Game-theoretic Lens: A Survey
As large language models and increasingly capable AI agents are deployed in high-risk settings, aligning them with complex human values has become a central challenge. Existing alignment methods, while effective in improving helpfulness, harmlessness, and controllability, often struggle to capture real-world preferences that are context-dependent, non-transitive, and shaped by dynamic multi-party interactions. This survey reviews AI alignment through a game-theoretic lens. Specifically, it organizes recent progress around key game-theoretic elements and synthesizes the literature along three c
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-28T04:31:05.000Z
First collected: 2026-09-21T08:21:55.975Z. This is not the publication date.