Amidst the race to create more intelligent machines there is a risk that we will rely on AI in ways that reduce our own agency as humans. To reduce this risk, we could aim to create tools that prioritize and enhance the human role in human-AI interactions. This paper outlines a human-centered augmented reasoning paradigm by 1. Articulating fundamental principles for augmented reasoning tools, emphasizing their ergonomic, pre-conclusive, directable, exploratory, enhancing, and integrated nature; 2. Proposing a 'many tasks, many tools' approach to ensuring human influence and control, and 3. Offering examples of interaction modes that can serve as bridges between human reasoning and AI algorithms.

翻译：在竞相创造更智能机器的浪潮中，我们面临着因过度依赖AI而削弱人类自主能动性的风险。为降低这一风险，我们应致力于开发优先考虑并增强人类在人机交互中作用的工具。本文通过以下三个方面阐述以人为中心的增强推理范式：1. 阐明增强推理工具的基本原理，强调其符合人体工学、预结论性、可引导性、探索性、增强性与集成性；2. 提出“多任务、多工具”方法以确保人类的影响力和控制权；3. 提供可作为人类推理与AI算法桥梁的交互模式实例。