arXiv：cs.AI· Tao Long, Lydia B. Chilton·· 7 小时前AI 评分34
SPEAR：交互式人机对齐的五大原则
SPEAR: Five Principles for Interactive Human-Agent Alignment
AI 导读
一篇立场论文提出 SPEAR 框架，将人机对齐重新定义为持续交互设计问题，包含五大支柱：意图表达与共识建立的 Specification、智能体决定何时行动或询问的 Process、用户评判成功与否的 Evaluation、智能体随使用适配用户的 Adaptation，以及用户调整信任与预期的 Recalibration。该文获 HCOMP 2026 最佳演讲奖。
正文
Abstract:Recent AI alignment work often frames alignment as a pre-deployment optimization problem: collect human feedback, learn preferences or principles, finetune the model, and deploy an aligned system. This framing has produced major progress, but it under-specifies what happens once AI systems act as agents on users' behalf in situated, long-term, and social contexts. This position paper reframes human-agent alignment as an ongoing interaction design problem. We propose SPEAR, five pillars of interactive alignment: Specification (how people express intent and establish shared understanding), Process (how agents decide when to act, ask, defer, or pause), Evaluation (how people judge whether agents succeeded), Adaptation (how agents adapt to users over repeated use), and Recalibration (how people adapt their trust, expectations, and behavior in response to agents).
| Comments: | 3 pages. Best Talk Award at the ACM Conference on Human-AI Complementarity and Alignment (HCOMP 2026) |
| Subjects: | Human-Computer Interaction (cs.HC); Artificial Intelligence (cs.AI); Multiagent Systems (cs.MA) |
| Cite as: | arXiv:2610.07204 [cs.HC] |
| (or arXiv:2610.07204v1 [cs.HC] for this version) | |
| https://doi.org/10.48550/arXiv.2610.07204 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Tao Long [view email]
[v1]
Mon, 5 Oct 2026 18:18:40 UTC (25 KB)
来源：arXiv：cs.AI · arxiv.org