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Berichten in Innovation
The Right to Process Data for Machine Learning Purposes in the EU
The Right to Process Data for Machine Learning Purposes in the EU

Harvard Law School, Harvard Journal of Law & Technology (JOLT) Volume 34, Digest Spring 2021

New interdisciplinary Stanford University AI & Law research article: “The Right to Process Data for Machine Learning Purposes in the EU”.

Download the article here: Kop_The Right to Process Data-Harvard

Data Act & European data-driven economy

Europe is now at a crucial juncture in deciding how to deploy data driven technologies in ways that encourage democracy, prosperity and the well-being of European citizens. The upcoming European Data Act provides a major window of opportunity to change the story. In this respect, it is key that the European Commission takes firm action, removes overbearing policy and regulatory obstacles, strenuously harmonizes relevant legislation and provides concrete incentives and mechanisms for access, sharing and re-use of data. The article argues that to ensure an efficiently functioning European data-driven economy, a new and as yet unused term must be introduced to the field of AI & law: the right to process data for machine learning purposes.

The state can implement new modalities of property

Data has become a primary resource that should not be enclosed or commodified per se, but used for the common good. Commons based production and data for social good initiatives should be stimulated by the state. We need not to think in terms of exclusive, private property on data, but in terms of rights and freedoms to use, (modalities of) access, process and share data. If necessary and desirable for the progress of society, the state can implement new forms of property. Against this background the article explores normative justifications for open innovation and shifts in the (intellectual) property paradigm, drawing inspiration from the works of canonical thinkers such as Locke, Marx, Kant and Hegel.

Ius utendi et fruendi for primary resource data

The article maintains that there should be exceptions to (de facto, economic or legal) ownership claims on data that provide user rights and freedom to operate in the setting of AI model training. It concludes that this exception is conceivable as a legal concept analogous to a quasi, imperfect usufruct in the form of a right to process data for machine learning purposes. A combination of usus and fructus (ius utendi et fruendi), not for land but for primary resource data. A right to process data that works within the context of AI and the Internet of Things (IoT), and that fits in the EU acquis communautaire. Such a right makes access, sharing and re-use of data possible, and helps to fulfil the European Strategy for Data’s desiderata.

Meer lezen
Artificial Intelligence, Ethics, Innovation, Intellectual Property, Internet of Things, Scholarship, TTLFMauritz KopHarvard Law SchoolRight to Process Data, Data Sharing Access and Re-Use, Ius Utendi (usus) et Fruendi (fructus), Quasi Usufruct, Locke, Kant, Machine Learning, AI, Intellectual Property, European Data Act, Training Datasets, Database Rights, Copyright, Trade Secrets, Property Paradigm, Public Domain, Open Innovation, Mauritz Kop, Stanford University, Harvard Law School, Harvard Journal of Law & Technology
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)