Juridisch Advies AI, Robotica, Big Data, Machine Learning

Blog over Kunstmatige Intelligentie, Deep Learning, Robotlaw, Blockchain en Big Data Regelgeving

Blog over juridische aspecten van kunstmatige intelligentie en robotica, big data wetgeving en machine learning regelgeving. Kennisartikelen inzake cloud computing, algoritmes, privacy, virtual reality, blockchain, smart contracts, informatierecht, ICT contracten, online platforms, apps en tools. Europese regels, auteursrecht, chipsrecht, databankrechten en juridische diensten AI recht.

Posts tagged healthcare
Transparantie en uitlegbaarheid van AI algoritmes

Tijdens het Platform ECP event ‘Transparantie en uitlegbaarheid van AI algoritmes’ gaf AIRecht Managing Partner en lid van de Werkgroep Kunstmatige Intelligentie Mauritz Kop op 27 juni 2019 in Den Haag een korte presentatie over de eerste Europese AI Alliance Conferentie te Brussel, en de aldaar door HLEG Chair Pekka Ala-Pietilä aan EU Commissaris Mariya Gabriel gepresenteerde Policy and Investment Recommendations for Trustworthy AI.

Policy and Investment Recommendations for Trustworthy AI

De Policy and Investment Recommendations for Trustworthy AI van de onafhankelijke High-Level Expert Group on Artificial Intelligence (AI HLEG) bevatten 33 punten, waaronder 11 key takeways die Europese Artificiële Intelligentie naar duurzaamheid, groei en competitiveness moeten leiden. Best practices en Codes of Conduct zoals het ECP AI Impact Assessment spelen in daarin een prominente rol.

Succesvolle eerste Europese AI Alliance Assembly in Brussel

De HLEG kan terugkijken op een succesvolle eerste editie van de Europese AI Alliantie Conferentie in Brussel, die gehouden werd op 26 juni 2019. Tijdens de Assembly - die ook online werd gestreamd - werden de nieuwste prestaties in het AI-beleid en de toekomstperspectieven van de Europese strategie voor kunstmatige intelligentie besproken (i.e. sociale, mensgerichte AI die fundamentele rechten en vrijheden respecteert), inclusief de impact ervan op onze economie en samenleving.

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Legal Status of Robots and AI in Healthcare - Symposium Academy Het Dorp

On December 3, 2018 our office Artificial Intelligence & Law delivered the lecture 'The legal status of smart robots: legal personality, intellectual property and fundamental rights'. On the occasion of the Symposium on robotisation and eHealth in the pharmaceutical industry, organized by Academy Het Dorp and Proeftuin Robotica. The central theme of this seminar on healthcare regulation was: Can you hold a robot liable in case of damages?

How should we deal with liability in robotics?

The following questions were addressed: Should robots equipped with AI have a separate legal status? How do you - as a developer/supplier and consumer/user/patient get a grip on liability for autonomous machines and artificial intelligence algorithms? How do we safeguard ethical principles and fundamental human rights? Who owns intellectual property rights in smart robots and copyrights on computer and AI generated works? How should we deal with liability in robotics?

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What are the main requirements for AI systems in Healthcare?

Main barriers to adoptation of Artificial Intelligence in healthcare.

Absence of a specific AI law, or clear legal framework from the perspective of both professional users (A) and patients (B).

When constructing such a framework, it is important to make a distinction between the various sub-areas of healthcare, such as research and development, professional care providers and recipients of care. Because each sub-area has different needs.

Barriers for professional users.

It is simply unclear for companies and private and academic research institutes in the medical sector what is and is not allowed in the field of AI, blockchain, computer & machine vision and robotics. Both at European level and at national level. This knowledge is important for the commodification of their inventions/creations. Two practical examples are permission from Farmatec and obtaining a CE-marking.

Requirements for sustained use of AI in healthcare.

Since traceability and transparency are key within any healthcare (and food-feed) system, blockchain could play an important role in sustained use of AI in healthcare.

A EU AI Directive or Regulation should be able to implement and/or adhere to principles of Eudralex (The body of European Union legislation in the pharmaceutical sector), Good Manufacturing Practices (GMP) and Good Distribution Practices (GDP) in particular.

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