Preserving Permissionless Innovation in Federal Data Privacy Policy

Jennifer Huddleston

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Preserving Permissionless Innovation in Federal Data Privacy Policy

机译：在联邦数据隐私政策中保留许可创新

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In the past year, headlines and policymakers have been increasingly concerned about data privacy and data security. More than 20 years ago, the Framework for Global Economic Commerce established that, from the perspective of United States' policy, the Internet would be free of undue burdens when possible and that regulatory intervention into this emerging technology should be limited. In the time since early Internet policies like the Clinton Framework and Section 230 of Communications Decency Act, this approach has allowed a variety of beneficial experiments and even failures contributing to the flourishing of online innovation in America.

机译：在过去的一年中，头条新闻和政策制定者越来越关注数据隐私和数据安全。超过20年前，全球经济商业框架成立，从美国的政策的角度来看，互联网将在可能的情况下没有过度的负担，并将对该新兴技术的监管干预受到限制。自从克林顿框架的早期互联网政策和通信十足法案的第230章以来，这种方法允许各种有益的实验，甚至有助于美国在线创新蓬勃发展。

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《Journal of internet law》 |2019年第12期|A1-A118-26|共10页
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Jennifer Huddleston;
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1. Preserving Permissionless Innovation in Federal Data Privacy Policy [J] . Jennifer Huddleston Journal of internet law . 2019,第12期

机译：在联邦数据隐私政策中保留未经许可的创新
2. Policy innovation, convergence and divergence: Considering the policy transfer regulating privacy and data protection in three European countries [J] . Karl Lofgren, C. William R. Webster Information Polity: The International Journal of Government and Democracy in the Information Age . 2009,第4期

机译：政策创新，融合与分歧：考虑在三个欧洲国家/地区进行规范隐私和数据保护的政策转移
3. The role of policy entrepreneurs in open government data policy innovation diffusion: An analysis of Australian Federal and State Governments [J] . Chatfield Akemi Takeoka, Reddick Christopher G. Government information quarterly . 2018,第1期

机译：政策企业家在开放政府数据政策创新传播中的作用：对澳大利亚联邦和州政府的分析
4. BU-Trace: A Permissionless Mobile System for Privacy-Preserving Intelligent Contact Tracing [C] . Zhe Peng, Jinbin Huang, Haixin Wang, International Workshop on Graph Data Management and Analysis;International Workshop on Machine Learning and Deep Learning for Data Security Applications;International Conference on Database Systems for Advanced Applications;International Workshop on Big Data Quality Management;International Workshop on Mobile Ubiquitous, Systems and Technologies;International Workshop on Mobile Data Management, Mining, andomputing on Social Networks . 2021

机译：BU-TRACE：用于隐私保留智能联系跟踪的许可移动系统
5. Privacy-Disclosure and Privacy-Preserving for Online Data [D] . Yan, Tong. 2019

机译：隐私 - 在线数据保留隐私保留
6. Scalable privacy-preserving data sharing methodology for genome-wide association studies: an application to iDASH healthcare privacy protection challenge [O] . Fei Yu, Zhanglong Ji 2014

机译：用于全基因组关联研究的可扩展隐私保护数据共享方法：在iDASH医疗保健隐私保护挑战中的应用
7. CCPA Tipping the Scales: Balancing Individual Privacy with Corporate Innovation for a Comprehensive Federal Data Protection Law [O] . Sahara Williams 2021

机译：CCPA推翻了秤：使个人隐私与企业创新进行全面的联邦数据保护法
8. Innovations in Federal Statistics: Combining Data Sources While Protecting Privacy. [R] . 2017

机译：联邦统计创新：在保护隐私的同时结合数据来源。

Preserving Permissionless Innovation in Federal Data Privacy Policy

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