Ten Principles of AI Agent Economics

📄 arXiv: 2505.20273v1 📥 PDF

作者: Ke Yang, ChengXiang Zhai

分类: cs.AI

发布日期: 2025-05-26

💡 一句话要点

提出十项原则以解决AI代理经济学问题

🎯 匹配领域: 支柱九：具身大模型 (Embodied Foundation Models)

关键词: AI代理 经济学 决策理论 伦理学 社会互动 劳动市场 自主性 风险管理

📋 核心要点

  1. 现有方法未能充分解决AI代理在经济活动中的决策机制及其对社会的影响。
  2. 论文提出十项原则，构建AI代理经济学框架，探讨其决策、社会互动及经济参与方式。
  3. 强调未来研究的必要性，以确保AI代理在促进人类进步的同时，妥善应对潜在风险。

📝 摘要（中文）

随着基于AI的自主代理的快速崛起，这些实体在社会和经济系统中扮演着越来越重要的角色。本文提出了十项AI代理经济学原则，旨在理解AI代理如何决策、影响社会互动并参与更广泛的经济活动。通过结合经济学、决策理论和伦理学，探讨了AI代理从工具演变为独立实体的可能性、对劳动市场的影响以及与人类价值观对齐所需的伦理保障。这些原则为AI代理的负责任整合提供了框架，同时强调了未来在AI可信性、伦理指导和监管监督方面的研究紧迫性。

🔬 方法详解

问题定义：本文旨在解决AI代理在经济活动中的决策机制及其对社会和劳动市场的影响，现有方法未能充分考虑AI代理的独特特性和潜在风险。

核心思路：通过提出十项AI代理经济学原则，构建一个理解AI代理如何决策和参与经济活动的框架，强调其自主性与伦理考量。

技术框架：整体架构包括对AI代理的决策过程、社会互动模式及其经济参与的分析，结合经济学、决策理论和伦理学的视角。

关键创新：最重要的创新在于将AI代理视为经济参与者而非单纯工具，提出的原则为理解其行为提供了新的视角。

关键设计：在原则设计中，考虑了AI代理的自主性、决策透明度及其与人类价值观的对齐，确保其在经济活动中的安全性和有效性。

📊 实验亮点

论文强调了AI代理在经济活动中的重要性，提出的十项原则为理解其决策和社会互动提供了新的框架，推动了对AI代理可信性和伦理性的深入研究。

🎯 应用场景

该研究的潜在应用领域包括自动化行业、金融科技、智能客服等，能够为AI代理的设计和实施提供理论指导，促进其在经济活动中的负责任使用，确保其对社会的积极贡献。

📄 摘要（原文）

The rapid rise of AI-based autonomous agents is transforming human society and economic systems, as these entities increasingly exhibit human-like or superhuman intelligence. From excelling at complex games like Go to tackling diverse general-purpose tasks with large language and multimodal models, AI agents are evolving from specialized tools into dynamic participants in social and economic ecosystems. Their autonomy and decision-making capabilities are poised to impact industries, professions, and human lives profoundly, raising critical questions about their integration into economic activities, potential ethical concerns, and the balance between their utility and safety. To address these challenges, this paper presents ten principles of AI agent economics, offering a framework to understand how AI agents make decisions, influence social interactions, and participate in the broader economy. Drawing on economics, decision theory, and ethics, we explore fundamental questions, such as whether AI agents might evolve from tools into independent entities, their impact on labor markets, and the ethical safeguards needed to align them with human values. These principles build on existing economic theories while accounting for the unique traits of AI agents, providing a roadmap for their responsible integration into human systems. Beyond theoretical insights, this paper highlights the urgency of future research into AI trustworthiness, ethical guidelines, and regulatory oversight. As we enter a transformative era, this work serves as both a guide and a call to action, ensuring AI agents contribute positively to human progress while addressing risks tied to their unprecedented capabilities.