探讨AI监管如何在创新与信任间平衡，助力资本主义持续增长
AI Regulation and Capitalist Growth: Balancing Innovation, Ethics, and Global Governance
- 通过分析数据隐私政策，探索监管与创新的动态平衡
- 适度监管可增强公众信任，促进可持续经济增长
- 适合关注AI治理与经济政策交叉议题的研究者
人工智能日益成为经济增长的核心驱动力，带来新效率与市场机遇。这一经济重要性引发了关于监管的争论：规则与监督是否通过建立信任、保护公众利益来推动长期增长，还是限制创新与自由企业？本文探讨了AI监管与资本主义理念之间的平衡，聚焦不同数据隐私策略对AI应用创新的影响。核心问题是：AI监管是促进还是抑制资本主义经济中的增长？分析综合了历史先例、当前美国监管格局、经济预测、法律挑战以及近期AI政策案例。研究表明，精准设计的数据隐私监管——在激励创新与公共利益之间取得平衡——可通过建立信任和确保负责任的数据使用，促进可持续增长；而过度监管则可能抑制创新并固化既有企业地位。
原文摘要 · Abstract (English)
Artificial Intelligence (AI) is increasingly central to economic growth, promising new efficiencies and markets. This economic significance has sparked debate over AI regulation: do rules and oversight bolster long term growth by building trust and safeguarding the public, or do they constrain innovation and free enterprise? This paper examines the balance between AI regulation and capitalist ideals, focusing on how different approaches to AI data privacy can impact innovation in AI-driven applications. The central question is whether AI regulation enhances or inhibits growth in a capitalist economy. Our analysis synthesizes historical precedents, the current U.S. regulatory landscape, economic projections, legal challenges, and case studies of recent AI policies. We discuss that carefully calibrated AI data privacy regulations-balancing innovation incentives with the public interest can foster sustainable growth by building trust and ensuring responsible data use, while excessive regulation may risk stifling innovation and entrenching incumbents.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。