Innovation, Quantum-AI 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.

Berichten in Ethics
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.

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Suzan Slijpen Conference Speaker at the National University of Ireland

Legal Aspects of AI in Healthcare

On 16 August 2019, Suzan Slijpen LL.M. had the honour to speak about the legal aspects of the development and use of artificial intelligence (a disruptive technology) in healthcare, at the AI in Medicine Conference organized by the Irish Association of Physicists in Medicine (IAPM). The conference took place in Galway, at the National University of Ireland (School of Physics, NUI Galway/ OÉ Gaillimh). Suzan is a senior legal consultant at AIRecht.nl, and specializes in eHealth & medical devices, pharmaceutical law, European food law and contract law, from an AI helicopterview. She is also founder and lawyer at boutique law office Slijpen Legal.

Key topics of the Artificial Intelligence in Medicine lecture

Key legal topics that Suzan addressed in her Artificial Intelligence in Medicine lecture:

1. AI & Robotics: Disruptive Technologies: Synergetic effects of 4th Industrial Revolution technologies like robotics, big data, quantum computing, Blockchain, Virtual Reality (VR) and Internet of Things (IoT).

2. eHealth and medical devices: legal classification.

3. Fundamental Rights: Safeguarding of Fundamental Rights in AI applications, Rights of Patients.

4. Ethics and responsible AI: 1791 French Revolution Values, HLEG Concept of Trustworthy AI.

5. Intellectual Property on AI and Health Apps: Licensing your IP.

6. Liability for damages caused by smart robots: who is liable for misdiagnosis by an AI algorithm?

7. Legislation and Jurisprudence.

8. AI Impact Assessment: remove roadblocks for AI.

Legislation and regulations regarding AI in Healthcare

Do you want to know more about legislation and regulations regarding AI in Healthcare, or Legal aspects of disruptive tech in Medicine? Or do you want to organize a workshop or conference yourself and invite us as a speaker or teacher? Then please contact us about the possibilities!

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