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人工智能税收理论与实践前沿报告

文章摘要

人工智能作为推动经济发展和社会进步的重要引擎,具有广阔的发展前景和较高的应用价值。本报告首先基于人工智能的概念及发展现状,分析人工智能对税收制度、税收征管及税务管理的多方面影响。随后进一步探讨了人工智能课税的理论分歧,梳理了当前学术界和实践中存在的主要争议点,包括人工智能对社会的广泛影响、课税技术难题及数据隐私保护等问题。最后,通过对国际上人工智能税收实践的案例分析,总结了其他国家在应对人工智能课税方面的成功经验,并提出了适合中国国情的建议。在制定人工智能财税政策时,应调整和优化税收制度,通过制定税收优惠政策鼓励人工智能领域的研发和创新,并从经济和社会发展的整体角度调整对人工智能的税收政策。此外,为了防止人工智能加剧贫富差距,需在税收政策中保持公平性,避免技术进步引发严重的就业不平等。

Abstract

Artificial intelligence,as an important engine for promoting economic development and social progress,has broad development prospects and high application value. Firstly,based on the concept and current development status of artificial intelligence,this report analyzes its multi-faceted impacts on the tax system,tax collection and administration,and tax management. Subsequently,it further explores the theoretical differences regarding the taxation of artificial intelligence and sorts out the main controversial points existing in current academia and practice,including the extensive impact of artificial intelligence on society,technical difficulties in taxation,and data privacy protection issues. Finally,through case analysis of international artificial intelligence taxation practices,it summarizes the successful experiences of other countries in dealing with the taxation of artificial intelligence and puts forward suggestions suitable for China’s national conditions. When formulating fiscal and tax policies for artificial intelligence,the tax system should be adjusted and optimized. Tax incentives should be formulated to encourage research and development and innovation in the field of artificial intelligence,and the tax policy on artificial intelligence should be adjusted from the overall perspective of economic and social development. In addition,in order to prevent artificial intelligence from exacerbating the gap between the rich and the poor,fairness should be maintained in tax policies to avoid serious employment inequality caused by technological progress.

作者简介
蔡昌:蔡昌,会计学博士,中央财经大学财政税务学院教授,中央财经大学税收筹划与法律研究中心主任,博士生导师,博士后合作导师,北京大数据协会财税大数据专委会会长,主要研究方向为财政与税收理论、数字财税与智慧税务、税收契约与产权税收学等。
孙睿:孙睿,中央财经大学税收学博士研究生,中央财经大学税收筹划与法律研究中心研究助理,主要研究方向为税收理论与政策、人工智能与税收等。
李为人:李为人,中国社会科学院大学应用经济学院副院长、研究生导师,主要研究方向为税收理论与政策、税收风险管控、税收信息化等。