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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 Artificial Intelligence Impact Assessment
AI Trade Mission to Boston with Prime Minister Mark Rutte

AIRecht.nl lawyers Mauritz Kop and Suzan Slijpen joined the Dutch AI trade mission to Boston, Massachusetts led by Prime Minister Mark Rutte and Minister Bruno Bruins. It was a big success. We visited leading companies in health care, climate, and robotics and AI and participated in high quality meetings and events at -inter alia- Harvard Wyss Institute, MIT, IBM Watson, Amazon Robotics, Humatics and Philips Healthworks R&D HQ USA.

AI-Chefsache interview

During debriefing at the Museum of Fine Arts & Koch Gallery, Prime Minister Mark Rutte and Mauritz Kop reflected on AI becoming Chefsache, the concept of Trustworthy AI, exporting European ethical values to the USA via the Dutch AI Impact Assessment (ECP), and building a strong and vibrant AI ecosystem in The Netherlands.

AIRecht.nl website included in IBM Watson presentation

We were honoured and thrilled to see that Nicola Palmarini, Global Manager AI for Healthy Aging IBM Research - MIT/IBM Watson AI Lab Cambridge and Tedx Speaker, included our AIRecht.nl website in his presentation about the moral, legal and ethical implications of AI, at IBM Watson Health Experience Centre.

Building on shared expierences

Learning and building on shared experiences is a two way street. During the mission, we gathered knowledge of the technological state of the art in Robotics & AI. We shared our own latest research insights on AI & IP, open access, public domain and ethics that facilitate innovation with influential academic institutions and ambitious, frontrunning entrepreneurs. This blog contains a photo report of our economic mission to the beautiful city of Boston.

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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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AI Impact Assessment | Netherlands

The AI ​​Impact Assessment offers entrepreneurs, data scientists and software programmers a concrete code of conduct with which AI can be safely implemented. The Artificial Intelligence Impact Assessment was developed by the Dutch ECP | Platform for the Information Society. The AI ​​Impact Assessment is a guide for the application of artificial intelligence. Through a practical checklist from a legal, technical and ethical point of view.

Code of Conduct Artificial Intelligence

The starting point of the AI Impact Assessment is the Code of Conduct for Artificial Intelligence. This code of conduct forms the basis of the AI Impact Assessment framework. The Artificial Intelligence Code of Conduct consists of two parts: common European ethical and constitutional values (i.e. liberty, equality, fraternity), legal principles and democratic preconditions, as well as practical rules and codes of conduct for AI applications, deep learning algorithms and autonomous systems.

Risk and safety assessment tools

The AI Impact Assessment is related to other risk and safety assessment tools such as the Privacy Impact Assessment, Algorithmic Accountability and Responsibility & Transparancy by Design. We see the same logic in the Asimov Three Laws of Robotics, the IBM Watson AI Guidelines (Everyday Ethics for Artificial Intelligence, A practical guide for designers & developers) and the 23 Asilomar AI principles. The AI Impact Assessment also has a guide function, and provides a similar moral compass.

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Artificial Intelligence Impact Assessment

AI Impact Assessment: checklist voor toepassing artificiële intelligentie

Het AI Impact Assessment biedt ondernemers, datawetenschappers en softwareprogrammeurs een gedragscode waarmee AI veilig geïmplementeerd kan worden. Het Artificial Intelligence Impact Assessment is ontwikkeld door het ECP|Platform voor de InformatieSamenleving. De AI Impact Assessment is een wegwijzer voor toepassing van artificiële intelligentie. Via een praktische checklist op zowel juridisch, technisch als ethisch vlak.

De uitvoering van de AI Impact Assessment wordt bij voorkeur begeleid door een daartoe gespecialiseerd jurist.


De AIIA vertoont verwantschap met andere risico-inschattingsinstrumenten zoals de Privacy Impact Assessment (PIA, ook wel Data Protection Impact Assessment (DPIA) of gegevensbeschermingseffectbeoordeling (GEB) genaamd). We zien eenzelfde logica terug bij de 3 Robotwetten van Asimov, de IBM Watson AI Guidelines en de 23 Asilomar AI principes. De AIIA heeft eveneens een gidsfunctie, en een vergelijkbaar moreel kompas.

Leidraad voor verantwoorde implementatie van kunstmatige intelligentie

De Artificiële Intelligentie Impact Assessment (AIIA) bevat een overzichtelijk stappenplan met 8 stappen, aan de hand waarvan bedrijven inzichtelijk kunnen maken welke juridische en ethische normen van belang zijn bij de creatie en toepassing van AI-systemen en smart robotics. Ook maken de AIIA en de Gedragscode Artificiële Intelligentie helder welke motieven en beweegredenen de basis vormen van de te maken keuzes en beslissingen tijdens het AI implementatietraject. Dit maakt het gebruik van kunstmatige intelligentie en slimme algoritmes transparanter.

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