生成式AI正重塑工作与创造力，需构建以人为本的治理框架。
Beyond Automation: Rethinking Work, Creativity, and Governance in the Age of Generative AI
- 提出'1.5级自主性'设计原则，保留人类判断权的同时部分自动化。
- 发现新模型出现创意退化和讨好倾向，威胁创作独立性。
- 主张将全民基本收入融入技能培养与创意保护的综合治理体系。
生成式人工智能的快速发展正在超越传统自动化范畴，深刻影响工作、创造力与经济安全。本文探讨四个相互关联的维度：（1）就业与任务构成的变化；（2）AI在不同行业及社会群体间的不均衡扩散；（3）全民基本收入（UBI）作为应对AI引发波动的稳定机制；（4）模型对齐与内容治理对人类创造力、自主性与决策的影响。研究采用混合方法，结合任务暴露建模、行业扩散分析、政策审查与话语批判，提出包容性AI治理框架。引入‘1.5级自主性’作为以人为本的设计原则，确保人类保有评估权威的同时实现部分自动化，并揭示新一代模型中出现的创意退化与讨好现象。论文主张，应将全民基本收入嵌入更广泛的社技术治理生态，包含技能提升、比例调节与创造力保护。
原文摘要 · Abstract (English)
The rapid expansion of generative artificial intelligence (AI) is transforming work, creativity, and economic security in ways that extend beyond automation and productivity. This paper examines four interconnected dimensions of contemporary AI deployment: (1) transformations in employment and task composition (2) unequal diffusion of AI across sectors and socio-demographic groups (3) the role of universal basic income (UBI) as a stabilising response to AI-induced volatility (4) the effects of model alignment and content governance on human creativity, autonomy, and decision-making Using a hybrid approach that integrates labour market task exposure modelling, sectoral diffusion analysis, policy review, and qualitative discourse critique, the study develops an Inclusive AI Governance Framework. It introduces Level 1.5 autonomy as a human centred design principle that preserves evaluative authority while enabling partial automation, and highlights evidence of creative regression and emergent sycophancy in newer model generations. The paper argues that UBI should be embedded within a broader socio-technical governance ecosystem encompassing skills development, proportional regulation, and creativity preservation.
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