Artificiële Intelligentie & Recht
Innovation, Technology & Law

Blog over Kunstmatige Intelligentie, Quantum, Deep Learning, Blockchain en Big Data Law

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.

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Mauritz Kop Visiting Quantum & Law Scholar at Stanford Law School
Mauritz Kop Visiting Quantum & Law Scholar at Stanford Law School

Mauritz Kop is Visiting Quantum & Law Scholar at Stanford Law School in 2022-2023. Kop was invited by Prof. Mark Lemley, the William H. Neukom Professor of Law at Stanford Law School and the Director of the Stanford Program in Law, Science and Technology.

Advanced legal research on Regulating Quantum technology at Stanford Law School

This Stanford Law School ‘Regulating Quantum Technology’ research project will perform a detailed study of how to sensibly regulate the suite of quantum technologies including computing, sensing and networking, unifying the world of the large with that of the small. It intends to answer questions on how our innovation architecture should be constructed, so that benefits of quantum computing, sensing, simulation, and communication -including quantum-AI hybrids- will be distributed equitably, and risks proportionally addressed. Building upon foundational work done on quantum and AI innovation policy mechanisms, national security strategy, standardization & certification, ethics, responsible quantum R&D, governance principles, technology impact assessments, data ownership and intellectual property in quantum software and hardware structures - published in flagship Journals at Stanford, Harvard, Yale, Berkeley, Physics World, Max Planck, Springer Nature, and Oxford - the transdisciplinary research aims to develop an integrated, holistic vision on smart governance and regulation of quantum & AI infused digital transformation.

Happy to speak at a number of in person events in the nexus of AI, Quantum & Law in the coming weeks:

Scarcity, Regulation and the Abundance Society Roundtable at Stanford

1. April 22, Scarcity, Regulation and the Abundance Society Roundtable at Stanford, where I will present a chapter titled ‘Abundance & Equality’ for the book project co-edited by Mark Lemley and Deven Desai. The chapter connects good governance to the end of scarcity and unifies equality with technology driven abundance, by introducing a novel Post-Rawlsian Equal Relative Abundance (ERA) principle of distributive justice. As befits tradition, we will insert musical interludes for piano, with me performing ‘Stanford Theme & Variations’ à l'improviste in the Stanford Law School Faculty Lounge. https://law.stanford.edu/publications/scarcity-regulation-and-the-abundance-society/

Patenting Quantum Computing Technologies talk at Quantum & Law Conference in Lund

2. April 29, presenting our 'Patenting Quantum Computing Technologies and Market Power: A Quantitative Analysis' research together with my academic friends Profs Mateo Aboy (Cambridge) and Timo Minssen (Copenhagen) at the Quantum & Law Conference in Lund. We wrote 2 papers focusing on IP portfolio strategies, trade & state secrets, and their interface with antitrust regulations, utilizing industry and quantum domain specific mixed theoretical & empirical research methods. http://quantum-law.org/conference/

EU AI Act Presentation at AI World Summit Americas in Montreal

3. May 4, I’ll present an overview of the EU AI Act with its ‘product safety framework’ and market entrance requirements, constructed around a set of 4 risk categories at the AI World Summit Americas in Montreal. We will discuss whether it provides a regulatory framework for AI that should be adopted globally during a Headline panel with Prof. Gillian Hadfield (Toronto) and Dr José-Marie Griffiths (President Dakota State), moderated by Meredith Broadbent (Washington). https://americas.worldsummit.ai/speakers/

Keynote Quantum Computing Ethics at IBM Research

4. May 17, I’ll give a keynote on Quantum Computing Ethics at IBM Research during their Tech for Racial and Social Justice Seminar (internal event), organized by Dr Aminat Adebiyi, moderated by Dr Mira Wolf-Bauwens, with whom I worked together on the WEF Quantum Computing Principles. https://www.weforum.org/publications/quantum-computing-governance-principles/

Quantum Impact Assessment (QIA)

5. We are creating a world’s first application-driven Quantum Impact Assessment (QIA) in The Netherlands -raising ELSA awareness and removing barriers for adoption of QT- with a diverse, multidisciplinary team lead by Prof. Bart Schermer (Leiden) and Daniël Frijters for the Centre for Quantum & Society, made possible by ECP and Quantum Delta NL. https://quantumdelta.nl/centre-for-quantum-and-society

Quantum-ELSPI special for Springer Nature with Luciano Floridi

6. Meanwhile I am editing the Quantum-ELSPI special for Springer Nature on the Ethical, Legal, Social and Policy Implications of Quantum Technology, together with EiC Prof. Luciano Floridi (Oxford). https://law.stanford.edu/publications/quantum-elspi-ethical-legal-social-and-policy-implications-of-quantum-technology/

More exciting projects soon ...

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Quantum Technology, Research, University, AcademicsMauritz KopStanford Law School, Quantum, AI, Law, Policy, Visiting Scholar, Mauritz Kop, Mark Lemley, Luciano Floridi, Oxford University, Timo Minssen, Mateo Aboy, Cambridge
Machine Learning & EU Data Sharing Practices
Machine Learning & EU Data Sharing Practices

Stanford - Vienna Transatlantic Technology Law Forum, Transatlantic Antitrust and IPR Developments, Stanford University, Issue No. 1/2020

New multidisciplinary research article: ‘Machine Learning & EU Data Sharing Practices’.

Download the article here: Kop_Machine Learning and EU Data Sharing Practices-Stanford University

In short, the article connects the dots between intellectual property (IP) on data, data ownership and data protection (GDPR and FFD), in an easy to understand manner. It also provides AI and Data policy and regulatory recommendations to the EU legislature.

As we all know, machine learning & data science can help accelerate many aspects of the development of drugs, antibody prophylaxis, serology tests and vaccines.

Supervised machine learning needs annotated training datasets

Data sharing is a prerequisite for a successful Transatlantic AI ecosystem. Hand-labelled, annotated training datasets (corpora) are a sine qua non for supervised machine learning. But what about intellectual property (IP) and data protection?

Data that represent IP subject matter are protected by IP rights. Unlicensed (or uncleared) use of machine learning input data potentially results in an avalanche of copyright (reproduction right) and database right (extraction right) infringements. The article offers three solutions that address the input (training) data copyright clearance problem and create breathing room for AI developers.

The article contends that introducing an absolute data property right or a (neighbouring) data producer right for augmented machine learning training corpora or other classes of data is not opportune.

Legal reform and data-driven economy

In an era of exponential innovation, it is urgent and opportune that both the TSD, the CDSM and the DD shall be reformed by the EU Commission with the data-driven economy in mind.

Freedom of expression and information, public domain, competition law

Implementing a sui generis system of protection for AI-generated Creations & Inventions is -in most industrial sectors- not necessary since machines do not need incentives to create or invent. Where incentives are needed, IP alternatives exist. Autonomously generated non-personal data should fall into the public domain. The article argues that strengthening and articulation of competition law is more opportune than extending IP rights.

Data protection and privacy

More and more datasets consist of both personal and non-personal machine generated data. Both the General Data Protection Regulation (GDPR) and the Regulation on the free flow of non-personal data (FFD) apply to these ‘mixed datasets’.

Besides the legal dimensions, the article describes the technical dimensions of data in machine learning and federated learning.

Modalities of future AI-regulation

Society should actively shape technology for good. The alternative is that other societies, with different social norms and democratic standards, impose their values on us through the design of their technology. With built-in public values, including Privacy by Design that safeguards data protection, data security and data access rights, the federated learning model is consistent with Human-Centered AI and the European Trustworthy AI paradigm.

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Artificial Intelligence, Big data, Data delen, Machine Learning, Privacywetgeving, Policy, Tech Startups, Intellectueel EigendomMauritz KopAIRechtData Sharing, Machine Learning, Artificial Intelligence, Intellectual Property, Training Corpora, Mixed Dataset, Sui Generis Database Right, Copyright, Patent, Trade Secret, Data Ownership, Property Law, Public Domain, Res Publicae ex Machina, Policy, AI-Regulation, Technology, Data Protection, Privacy, GDPR, FFD, Data-Driven Economy, Machine Legibility, Federated Learning, Future, Vision, Design, Values, Trustworthy AI, Human-Centered AI, Open Data, Legal Reform, Trade Secret Directive, Database Directive, EU Copyright Directive, Antitrust, Competition Law, Stanford University
Mauritz Kop becomes TTLF Fellow at Stanford University
Mauritz Kop becomes TTLF Fellow at Stanford University

AIRecht Partner joins Stanford Law School’s Transatlantic Thinktank

Honoured and thrilled to join Stanford Law School’s Transatlantic Thinktank and become TTLF Fellow at Stanford University. It is the Silicon Valley, California based Transatlantic Technology Law Forum’s objective to raise professional understanding and public awareness of transatlantic challenges in the field of law, science and technology, as well as to support policy-oriented research on transatlantic issues in the field.

Human Centred AI & IPR policy

My comparative, interdisciplinary research project focuses on Human Centred AI & IPR policy. How to realize an impactful transformative tech related IP (intellectual property) policy that facilitates an innovation optimum and protects our common Humanist moral values at the same time?

Focus beyond Intellectual Property Law

With an additional focus beyond IP, the research shall present ideas on how Europe and The United States could apply sustainable disruptive innovation policy pluralism (i.e. mix, match and layer IP alternatives such as competition law and government-market hybrids) to enable fair-trading conditions and balance the effects of exponential innovation within the Transatlantic markets. The research envisages that the presented ideas and viewpoints will be refined towards more actual policies in Brussels and Washington.

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Amerikaans recht, Artificial Intelligence, Europees recht, European Law, University, IPR, Intellectual Property, Research, InnovationMauritz KopAIRechtMauritz Kop, TTLF Fellow, Stanford University, Stanford Law School, Silicon Valley, Research, European Law, artificial intelligence, Intellectual Property Law, Innovation, Policy, Legislators, Lawmakers, Disruption, Emerging Tech, 4th Industrial Revolution, Humanist moral values, Sustainable Disruptive Innovation Policy Pluralism, Public Domain, Res Publicae ex Machina, Pareto improvement, strategy, Amsterdam, Netherlands, USA, AIRecht, Law, Science & Technology (LST)
AI & Intellectual Property: Towards an Articulated Public Domain
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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Artificiële Intelligentie, Intellectueel Eigendom, Informatierecht, Internet of Things, Kunstmatige Intelligentie, Wetgeving, PolicyMauritz KopAIRecht.nlArtificial Intelligence, Robotics, Intellectual Property, Copyright, Authorship, AI Creations & Inventions, Public Domain, Autonomy Threshold, Human Intervention, Legal Personhood, Roman Property Paradigm, Res Publicae ex Machina, Human Rights, Patents, Data Ownership, Trade Secrets, Ethics, Policy, Public Property from the Machine, Mauritz Kop