【人工智能失业保障】英文范文详解

The rapid proliferation of generative artificial intelligence is precipitating unprecedented structural unemployment, necessitating an immediate paradigm shift from reactive welfare provisions to proactive, adaptive social security frameworks. To cushion the immediate economic shock, policymakers must implement a transitional wage insurance scheme coupled with conditional basic income supports, ensuring displaced workers maintain baseline purchasing power while pursuing re-skilling pathways. Furthermore, a comprehensive, lifelong learning infrastructure should be institutionalized through robust public-private partnerships, with targeted subsidies and tax incentives mandating corporate investment in continuous workforce upskilling. These initiatives would be sustainably financed by earmarking a proportion of corporate AI productivity dividends, complemented by a modernized progressive taxation model that aligns fiscal responsibilities with technological capital accumulation. Ultimately, such a calibrated intervention will not merely mitigate technological disruption but will actively cultivate a resilient, human-centric labor market capable of thriving alongside algorithmic automation.

生成式人工智能的迅速普及正引发前所未有的结构性失业，亟需立即实现从被动福利供给向主动、适应性社会保障框架的范式转变。为缓冲即时经济冲击，政策制定者必须实施过渡性工资保险计划，并结合有条件的无条件基本收入支持，确保失业人员在探索再技能化路径的同时维持基本购买力。此外，应通过稳固的公私合作伙伴关系制度化建立全面、终身的学习基础设施，并辅以定向补贴与税收激励，以强制企业持续投资于劳动力的技能提升。这些举措将通过划拨企业人工智能生产力红利的固定比例来提供可持续融资，并辅以现代化的累进税制模型，使财政责任与技术资本积累相匹配。最终，这种经过精密设计的干预措施不仅将减轻技术性破坏，更将积极培育具备韧性的、以人为本的劳动力市场，使其能够与算法自动化协同繁荣。