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EU Law and the Use of Artificial Intelligence Tools in Health and Wellbeing

Get an overview of the key legal frameworks regulating the design and deployment of AI for the advancement of health and wellbeing!

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CIVIS focus area
Digital and Technological transformation
Open to
  • Bachelor's
Field of studies
  • Computer Science and IT
  • Engineering & Technology
  • Law
Type
  • CIVIS Hub 5
  • Micro-programmes
Course dates
21 April 2026 - 30 June 2026
Apply by
28 Februar 2026
Welcome to EU Law and the Use of Artificial Intelligence Tools in Health and Wellbeing (2ECTS) - an undergraduate level online course, focused on the EU legal frameworks regulating the design and deployment of AI for health and wellbeing.

“EU Law and the Use of Artificial Intelligence Tools in Health and Wellbeing” course is part of the Digital Transformations in Health and Wellbeing micro-programme within the CIVIS HUB5, focusing on the European legal frameworks shaping the development of AI for health and wellbeing and the key legal risks associated with such a technology.

The whole micro-programme will be available starting with the running academic year (2025/2026) and will consist of a set of 5 courses as follows:

C1: Digital and Technological Transformation: Social Challenges Across Domains offered by Universidad Autónoma de Madrid

C2: EU Law and the Use of Artificial Intelligence Tools in Health and Wellbeing offered by Eberhard Karls Universität Tübingen

C3: Artificial Intelligence Tools in Health and Wellbeing offered by Aix-Marseille Université

C4: Digital Transformations in Oncology offered by University of Bucharest

C5: New Technologies in the Diagnostic and Treatment of Cancer offered by Aix-Marseille Université

This online course aims to introduce bachelor ’s-level students to the essential EU law shaping the development of AI for health and wellbeing and the key legal risks associated with such a technology. It also supports the student’s capacity to reflect critically on challenges of regulating technologies applied in interdisciplinary settings associated with health and wellbeing.

The objective of the course is to introduce the students to the key legal frameworks regulating AI for Health and Wellbeing and how they should be taken into account in the development of the technology. The students will develop an understanding of how data protection law, data law, the regulation of AI and medical devices as well as intellectual property law and consumer protection law shape the development, marketing and use of AI for health and wellbeing. Through practical case examples, the students will learn to explain which fields of law should be considered and what their key regulatory objectives are with respect to AI for Health and Wellbeing. The students will also learn to reflect on different regulatory and governance objectives for AI. The long-term aim of the course is to familiarize and sensitize students to the legal landscape and legal and ethical risks associated with working on or using AI applications for health and wellbeing.

Main topics addressed

The course will introduce to the students to the key fields of EU law regulating digital health and wellbeing:

  • Data protection law
  • Artificial Intelligence Act
  • Medical Device Regulation
  • Private and Consumer Protection Law
  • Intellectual Property Law

In addition the course will discuss the broader topics of regulating the ecosystems of health data and international AI governance, including future trends.

The course consists of 12 lectures that presuppose familiarization with preparatory reading material. Throughout the course, the participants develop a descriptive, integrative case study on an AI application for AI for Health or Wellbeing and an analysis of how the relevant legal frameworks shape its development. The case study will be accompanied by a reflection on the challenges of applying the EU law to the particular case and the broader challenges of regulating AI in highly interdisciplinary application contexts.

Learning outcomes

  • Through reading material, lectures and case examples of AI applications for digital health and well being, the students will learn to identify key EU law obligations shaping the development and the technology.
  • The students shall learn the objectives of EU regulations for AI and medical devices, data protection law, intellectual property law and consumer protection law.
  • On a more abstract level, the students will recognize possible conflicts and uncertainties related to the application of the laws discussed in the context of AI for digital health and wellbeing.
  •  Finally, they will also learn to reflect critically on the trade-offs between different regulatory approaches to AI in the context of health and wellbeing.
This module is part of the micro-programme Digital Transformations in Health and Wellbeing and will be offered independently by the University of Tubingen during semester II of the 2025/2026 academic year. Students graduating each module of the micro-programme will receive transcript of records from each coordinating university. Students graduating all 5 modules will additionally receive a certificate for the whole micro-programme from the University of Bucharest (coordinator of the micro-programme).

Read more about the micro - programme

Calendar

The course is structured into 12 lectures

  1. Tuesday 21.04.2026: Introduction to Law, Regulation and Governance of Digital Technologies
  2. Thursday 23.04.2026: Fundamentals of Data and Artificial Intelligence in Health and Wellbeing
  3. Tuesday 28.04.2026: EU Data Protection Law
  4. Thursday 30.04.2026: EU Data Protection Law for Health Data
  5. Tuesday 05.05.2026: The Artificial Intelligence Act
  6. Thursday 07.05.2026: AI Ethics
  7. Tuesday 12.05.2026: AI-based Medical Devices
  8. Tuesday 8.06.2026: Data Ecosystems
  9. Thursday 11.06.2026: Innovation law
  10. Tuesday 16.06 2026: Private and Consumer Law
  11. Thursday 18.06.2026: International AI Governance
  12. Tuesday 30.06.2026: Future Trends – Open Topics

The course assignments are to be submitted in two parts.

  • The first will cover the topics of data protection law, AI regulation and medical device regulation (lectures 1-7)
  • The second will cover the adjacent fields of law (lectures 8 - 10) and the broader topics in AI governance (Lectures 12)  The two discussion sessions associated with the deliverables will be scheduled separately.

Application process

The applications for the micro-programme's online course “EU Law and the Use of Artificial Intelligence Tools in Health and Wellbeing” are open until 28th February 2026.

Please ensure that you upload your certificate of enrolment directly with your application. We cannot admit you to the micro-programme without this document. You will be informed at the latest after the end of the application period whether you have been admitted to the micro-programme.

Once accepted, the students will receive the learning materials, and the links for the virtual sessions on Moodle. 

For any other questions, please don't hesitate to contact the coordinators of the micro-programme:

 

APPLY NOW

Short bio of the course lead:

Dr. Alina Wernick is a legal scholar specialized in intellectual property and AI law. She leads The Law, AI, and Society Group at the CZS Institute for Artificial Intelligence and Law at the University of Tübingen and is also associated with the Cluster of Excellence - Machine Learning for Science. Her research explores the dynamic relationship between artificial intelligence and legal frameworks, focusing on their broader social and societal impacts. Before joining Tübingen, Dr. Wernick led a Kone Foundation-funded research project (2020–2024) at the University of Helsinki’s Legal Tech Lab, investigating the human rights risks posed by smart city technologies. Her previous research at the Alexander von Humboldt Institute for Internet and Society delved into data governance and ethical challenges of eHealth technologies. Dr. Wernick earned her doctorate summa cum laude from Ludwig Maximilian University, on the topic of patent law and open innovation. Her doctoral research was further supported by the Max Planck Institute for Innovation and Competition, as part of the IMPRS-CI program.

Teaching Team

  • Ali Semih Çamkerten
  • Sanidhya Rao

Bios of the teaching team

Ali Semih Çamkerten

Ali Semih Camkerten is a Ph. D. Research Associate at the CZS Institute for AI and Law. He completed his undergraduate education from TOBB Economy and Technology University,  Ankara, Turkiye in 2021, obtaining a LL.B.  He subsequently practised as an advocate specialising in intellectual property law in the Ankara Patent Bureau and completed his legal internship for Ankara Bar. Semih pursued his LL.M. at the Social Sciences University of Ankara in 2024, focusing on IT law. After the completion of his Master’s, Semih joined the Law, AI and Society group in February 2025. Semih is currently researching open source AI and Intellectual Property Law as well as knowledge commons in this context.

Sanidhya Rao

Sanidhya is a Ph. D. Research Associate at the CZS Institute for AI and Law. He completed his undergraduate education from National Law University Delhi, India in 2021, obtaining a B.A. LL.B. (Hons.). He subsequently practised as an advocate specialising in intellectual property law and technology laws in the Delhi High Court and the Supreme Court of India for two years. Sanidhya pursued his LL.M. at the UC Berkeley School of Law in USA in 2024, obtaining a Certificate of Specialisation in Technology Laws. After the completion of his Master's, Sanidhya joined the CZS Institute’s Law, AI and Society group in February 2025. He is researching AI regulations on deepfakes and how they’re sought to be enforced. Apart from his research, Sanidhya is keenly interested in developments in IP law and technology in general.