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Blog over juridische, sociale, ethische en policy aspecten van Kunstmatige Intelligentie, Quantum Computing, Sensing & Communication, Augmented Reality en Robotica, Big Data Wetgeving en Machine Learning Regelgeving. Kennisartikelen inzake de EU AI Act, de Data Governance Act, cloud computing, algoritmes, privacy, virtual reality, blockchain, robotlaw, smart contracts, informatierecht, ICT contracten, online platforms, apps en tools. Europese regels, auteursrecht, chipsrecht, databankrechten en juridische diensten AI recht.

Berichten met de tag Public Property from the Machine
Intellectual Property at Stanford Law School

USA IP Law at Stanford University

Stanford Law School has a long-standing tradition of sharing its expertise in Intellectual Property, Science and Technology law with legal professionals from around the world. In August 2019, AIRecht managing partner and strategic IP specialist Mauritz Kop had the pleasure to be part of a pre-selected international group of highly talented IP lawyers, counsels and scholars who had the opportunity to bring their professional skills to the next level and study complex IP issues related to Silicon Valley’s hi-tech industry, during an intensive international certificate summer program on U.S. IP law. The international professional American Intellectual Property Law Program at Stanford University is co-directed by Prof. Siegfried Fina, Prof. Mark Lemley and Dr. Roland Vogl.

SLS: A World’s Leading Law School at an Ivy Plus League University

Stanford University is an Ivy Plus League university. Ivy League schools such as Harvard, Yale, Princeton, MIT and Columbia University are viewed as the most prestigious, ranked among the best universities worldwide and have connotations of academic excellence. SLS is one of the world’s leading law schools. The Faculty draws international top talent to its magnificent campus. Stanford Law School’s Program in Law, Science & Technology (LST) has been ranked regularly among the top three intellectual property law programs in the United States, together with the IP Programs (LL.M. and J.D.) of the University of California-Berkeley and the University of New York.

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AI & Intellectual Property: Towards an Articulated Public Domain

New peer reviewed research article: ‘AI & Intellectual Property: Towards an Articulated Public Domain’ (download)

By Mauritz Kop

Link & citation at Texas Intellectual Property Law Journal (TIPLJ): 28 Tex. Intell. Prop. L. J. 297 (2020)

Link SSRN: https://ssrn.com/abstract=3409715

The article has been published in the Texas Intellectual Property Law Journal (2020, 28). TIPLJ is published in cooperation with the State Bar of Texas three times per year at the University of Texas School of Law. The Journal is the official journal of the State Bar of Texas Intellectual Property Law Section.

Res Publicae ex Machina (Public Property from the Machine)

Building upon the doctrinal body of knowledge, the article introduces a new public domain model for AI Creations and Inventions that crossed the autonomy threshold (i.e. no sufficient amount of human intervention that can be linked to the output): Res Publicae ex Machina (Public Property from the Machine). It includes examples.

Intellectual property framework AI systems

Besides that, the article describes the current legal framework regarding authorship and ownership of AI Creations, legal personhood, patents on AI Inventions, types of IP rights on the various components of the AI system itself (including Digital Twin technology), clearance of training data and data ownership.

Compact Artificial Intelligence & IP overview analysis

Main goal of this research is to offer an accessible, relatively compact Artificial Intelligence (AI) & IP overview analysis and in doing so, to provide some food for thought to interdisciplinary thinkers and policy makers in the IP, tech, privacy and freedom of information field.

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