设计让人类保持主导的AI辅助推理系统，避免过度依赖。
A Beautiful Mind: Principles and Strategies for AI-Augmented Human Reasoning
- 提出六项人本增强推理原则，确保工具易用、可引导、可探索。
- 倡导多任务多工具策略，保障人类在交互中的持续控制权。
- 给出具体交互模式，连接人类思维与算法能力，适合人机协作研究者。
在追求更智能机器的过程中，存在过度依赖AI而削弱人类自主性的风险。为降低此风险，应设计以人类为中心的增强推理工具。本文提出一种人本增强推理范式：1）阐明增强推理工具的基本原则，强调其易用性、非预设性、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，确保人类在交互中保持影响力与控制力；3）提供可作为人类推理与AI算法桥梁的交互模式示例。
原文摘要 · Abstract (English)
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.
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