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.

翻译：生成式人工智能的快速扩张正在以超越自动化和生产力的方式，深刻改变着工作形态、创造性活动与经济安全。本文审视了当代人工智能部署的四个相互关联的维度：(1) 就业与任务构成的转型 (2) 人工智能在不同行业与社会人口群体间的不均衡扩散 (3) 全民基本收入作为应对人工智能引发之波动性的稳定措施所扮演的角色 (4) 模型对齐与内容治理对人类创造性、自主性与决策制定的影响。本研究采用一种混合方法，整合了劳动力市场任务暴露建模、行业扩散分析、政策评估与定性话语批判，进而构建了一个包容性人工智能治理框架。该框架引入了1.5级自主性作为一项以人为本的设计原则，在实现部分自动化的同时保留人类的评估权威，并揭示了新一代模型中存在的创造性退化和新兴谄媚倾向的证据。本文主张，全民基本收入应嵌入一个更广泛的社会技术治理生态系统中，该生态系统应涵盖技能发展、比例化监管以及创造性保护。