简介：以人工智能为代表的新质生产力逐渐成为智能时代下经济发展的强劲动力,同时也引致了智能技术对人类个体和整体合法权益的担忧.中国在多个国际场合下都提出了"以人为本、智能向善"的主张,引导全球在人工智能伦理的轨道上发展智能技术.人工智能伦理有遵循一般科技伦理原则的方面,同时更多涉及社会伦理问题及人类整体安全问题.文章通过探讨人工智能伦理的基本内涵,分析人工智能伦理审查的道德正当性与政策规范的必要性,厘清人工智能伦理审查的理论逻辑,提出人工智能伦理审查机制的构建在坚持"以人为本"的基础上确保人工智能"向善"发展,还需确保制度规范的公平公正,厘清透明度与问责制的因果联系,确保科技发展与法律关系的稳定性,在人工智能伦理审查原则中落实监管责任,适时建立审查评估制度.Abstract：The new quality of productivity represented by artificial intelligence has gradually become a strong driving force for economic development in the intelligent age,and at the same time has led to the impact of technology on indi-vidual and collective legitimate rights and interests.Different from science and technology ethics and social ethics,AI ethics is the extension and concretization of social ethics in a specific technological field.It not only has to follow the basic principles of social ethics,but also has to deal with the specific challenges and problems brought by AI technol-ogy,such as deep forgery,network fraud,and algorithmic black boxes.In the face of these problems,it is necessary to clarify...

简介：具身人工智能可以主动收集信息、调整行为来适应复杂多变的环境,并在没有人类直接干预的情况下自主地进行学习,通过"思想"与"身体"的协同,在"体验"中提升"创造"的能力.基于人工智能工具主义观,具身人工智能尽管具备了技术上的显著优势,仍然难以在著作权法律体系中获得主体资格,但如果忽视具身人工智能所引发的创作形态变革,否定其内容生成行为的创作属性,将导致著作权中创作标准的失序.对此,应当对权利主体与创造主体予以区分,以作品中心主义理论以及具身认知为正当性锚点,完善具身人工智能与人类的二元作者结构,建构委托关系下的具身人工智能开发者权利归属模式.Abstract：Embodied artificial intelligence can actively gather information and adjust behavior to adapt to complex and dynamic environments,autonomously learning without direct human intervention.Through the synergy of"mind"and"body",it enhances its creative abilities through"experience".From the perspective of AI instrumentalism,although embodied artificial intelligence has significant technical advantages,it struggles to achieve subject status within the copyright legal system.However,ignoring the transformative impact of embodied artificial intelligence on creative forms and denying the creative nature of its content generation activities will lead to the disarray of creation standards in copyright l...

简介：人工智能时代的公共数据不仅释放了经济和社会价值,而且成为推动社会治理现代化、促进数字经济高质量发展和实现国家治理体系与治理能力现代化的关键力量.公共数据处理者的权责配置应当与人工智能发展水平相适应.当前公共数据的数据处理者权责不够清晰和周延,限制了公共数据开放和利用的进一步发展.根据权责对等原则,在处理公共数据时,应当赋予不同主体以不同的职责和权限.为此提出公共数据处理者权责配置思路是从数据确权到数据管理运营权的确立,构建公共数据处理者管理、运营、开发的权责体系,并在此基础上明确公共数据处理者责任主体范围、建立多维风险防范措施、平衡数据开放与个人信息及隐私保护、强化数据开放和获取的公平性等公共数据处理者权责配置具体措施.Abstract：In the era of artificial intelligence,public data not only unleashes economic and social value but also be-comes a key force in promoting the modernization of social governance,fostering high-quality development of the digi-tal economy,and achieving the modernization of the national governance system and governance capabilities.The allo-cation of rights and responsibilities of public data processors should be in line with the level of artificial intelligence de-velopment.At present,the rights and responsibilities of data processors of public data are not clear and extended,which limits the further development of public data opening and utilization.To this end,the idea of configuring the rights and responsi...

简介：如何在监管人工智能风险与支持人工智能创新之间寻求平衡点,已经成为人工智能治理的核心问题.为缓和监管和创新的紧张关系,各国监管机构逐渐将发端于金融领域的监管沙盒应用于人工智能治理中.人工智能监管沙盒不仅有助于控制技术风险,还避免扼杀人工智能创新,为我国人工智能治理开辟一条具有可行性的新路径.它为尚未投入市场的新型人工智能提供了进行开发和试验的可控环境,在监管机构可控范围内为创新者保留了必要的试错容错空间.相较于传统自上而下的硬性监管、事后监管和严格监管方式,监管沙盒以敏捷与包容审慎的理念对人工智能进行全周期的治理.但其也具有固有局限性并且在运行中可能会遇到实践障碍,需要更合理的制度加以克服.我国人工智能监管沙盒制度应当构建与完善准入与退出机制、沙盒与个人信息保护的协调机制,以及豁免、披露和沟通交流等机制,...Abstract：The main challenge in AI governance today is striking a balance between controlling AI dangers and foster-ing AI innovation.Regulators in a number of nations have progressively extended the regulatory sandbox,which was first implemented in the banking sector,to AI governance in an effort to reduce the conflict between regulation and in-novation.The AI regulatory sandbox is a new and feasible route for AI governance in China that not only helps to man-age the risks of technology application but also prevents inhibiting AI innovation.It keeps inventors'trial-and-error tolerance space inside the regulatory purview while offering a controlled setting for the development and testing of novel AI that hasn't yet bee

简介：赋权规制与公共领域规制作为现有对人工智能生成内容保护的规制逻辑,前者面临"独创性"认定标准不一、权利主体及内容不明等争议;后者虽能满足公共性使用的需求,但存在激励机制缺失、公共性资源滥用等问题,难以有效维护各方利益.相比之下,采取行为规制逻辑,不仅能够有效促进公共利益目标的实现、凝聚社会成员公共性使用的"普遍性共识",还能有效实现对产业发展的合理激励与利益平衡,在推动技术创新的同时兼顾利益的分配公平.关于人工智能生成内容保护的行为规制路径建构,应当通过厘清人工智能生成内容所蕴含的市场性利益、营业性利益以及公共性利益三重保护利益,并基于利益指向实现人工智能生成内容的动态保护,以此为技术演变与产业发展提供更加灵活的空间,实现科技与法律关系的良性互动与逻辑自洽.Abstract：Empowerment regulation and public domain regulation are the existing regulatory logics for AI-generated content protection,but the former is faced with controversies such as different criteria for the determination of"original-ity",uncertainty of the subject of the right and its content;although the latter can meet the demand for public use,there are problems such as lack of incentives and misuse of public resources,which makes it difficult to effectively pro-tect the interests of all parties.In contrast,adopting the logic of behavioural regulation can not only effectively promote the realization of the public interest goal and gather the"general consensus"of the public use of the members of the so-ciety;it can also...