SPEAR: Five Principles for Interactive Human-Agent Alignment
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 ag...
| Authors | Tao Long, Lydia B. Chilton |
|---|---|
| Primary category | cs.HC |
| Published | 5 October 2026 |
| Last updated at source | 5 October 2026 |
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