本书讨论了对新技术所依赖的算法进行监管的必要性和紧迫性； 具有重塑人类社会潜力的技术。 从商业和农业到医疗和教育，我们生活中很难找到不受这些新兴技术影响的任何方面。 同时，人工智能、深度学习、机器学习、认知计算、区块链、虚拟现实和增强现实，属于最有可能影响法律，尤其是行政法的领域。 该书探讨了行政决定和司法裁决中普遍适用的模式。 首先，通过分析从地理位置和行政决定到司法推理和法律依据的参数，确定不同案件之间行为的相似性和差异性。 事实证明，在介绍的几个案例中，由于缺乏当前的专门立法，一般法的渊源，例如竞争法或劳动法，被援引作为法律依据。 本书还调查了国家乃至超国家监管机构在先进算法方面的作用和重要性，并将 ENISA（一个专注于网络和信息安全的欧盟机构）视为欧洲先进算法监管机构的有趣候选者。 最后，讨论了代表性机构在算法监管中的参与。

实施员工股票期权计划的智能合约和法律包装 关于什么是ESOP，归属如何工作等，下面有很多内容。如果您仅对智能合约信息感兴趣，请转到，有关测试和部署的信息请转到。 对于这个想法背后的原因，请阅读这篇。 什么是ESOP？为什么要这么做？ ESOP代表员工股票期权计划。 许多公司决定通过向员工提供股票来允许员工参与公司的长期发展。 股票通常以期权的形式提供（主要是由于税收原因），当公司进行首次公开​​募股或被收购时，股票会直接转换为现金。 各种ESOP结构和讨论背后有很多有趣的理由，无论何时有效。 这是一个很好的介绍： : Neufund吃自己的食物，并通过智能合约向员工提供ESOP，其中期

The eld of arti cial intelligence (AI) and the law is on the cusp of a revolution that began with text analytic programs like IBM’s Watson and Debater and the open-source informa- tion management architectures on which they are based. Today, new legal applications are beginning to appear, and this book – designed to explain computational processes to non-programmers – describes how they will change the practice of law, speci cally by connecting computational models of legal reasoning directly with legal text, generat- ing arguments for and against particular outcomes, predicting outcomes, and explaining these predictions with reasons that legal professionals will be able to evaluate for them- selves. These legal apps will support conceptual legal information retrieval and enable cognitive computing, enabling a collaboration between humans and computers in which each performs the kinds of intelligent activities that they can do best. Anyone interested in how AI is changing the practice of law should read this illuminating work. Dr. Kevin D. Ashley is a Professor of Law and Intelligent Systems at the University of Pittsburgh, Senior Scientist, Learning Research and Development Center, and Adjunct Professor of Computer Science. He received a B.A. from Princeton University, a JD from Harvard Law School, and Ph.D. in computer science from the University of Mas- sachusetts. A visiting scientist at the IBM Thomas J. Watson Research Center, NSF Presidential Young Investigator, and Fellow of the American Association for Arti cial Intelligence, he is co-Editor-in-Chief of Arti cial Intelligence and Law and teaches in the University of Bologna Erasmus Mundus doctoral program in Law, Science, and Technology.

信息安全_数据安全_us-18-Palansky-Legal-Liability-F 安全建设 安全分析 大数据 区块链 信息安全研究

This book takes a look at fully automated, autonomous vehicles and discusses many open questions: How can autonomous vehicles be integrated into the current transportation system with diverse users and human drivers? Where do automated vehicles fall under current legal frameworks? What risks are associated with automation and how will society respond to these risks? How will the marketplace react to automated vehicles and what changes may be necessary for companies?

legal-500 比较法国别指南-中国数据保护与网络安全（英语）-2021.5-19页.pdf

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