一句话：主张借鉴数十年人本设计经验，在设计阶段应对生成式 AI 系统的可信性、偏见与责任挑战。
生成式 AI 系统近年的公开发布显著提升了公众对 AI 能力的认知，同时也暴露出系统局限以及由人类设计所固有的偏见。随着社会期待上升，人们要求连接人类与强大系统的软件更可信、以人为本且负责任，并能真正增强人的能力。文章指出，过去数十年设计与人协作、为人服务的系统的实践，可作为应对动态 AI 系统新挑战与机遇的基础。其核心主张是将可信、公平与责任前置到设计过程中，而非事后修补；摘要未给出具体技术方法或实证评估。
The relatively recent public release of generative artificial intelligence (AI) systems has ignited a significant leap in awareness of the capabilities of AI. In parallel, there has been a recognition of AI system limitations and the bias inherent in systems created by humans. Expectations are rising for more trustworthy, human-centered, and responsible software connecting humans to powerful systems that augment their abilities. There are decades of practice designing systems that work with, and for humans, that we can build upon to face the new challenges and opportunities brought by dynamic AI systems.