Health data and AI: responsible innovations, ethics and regulatory strategies
This description is only available in English.
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27–29.01.2025
Course dates
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3 days
Duration -
Zurich
Location -
EnglishCourse language
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23.10.2024
Registration end
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CHF 1,100
Course fee
Course description
This short course offers a critical overview and understanding of the ethical and regulatory challenges triggered by the use of big data and artificial intelligence (AI) in the health sector.
Date and venue
Course date
27–29.01.2025, 3 days
Course location
ETH Zurich, LEE building
Fees
Course fee
- CHF 1100
- CHF 300 federal employees, researchers, employees of NGOs and startups
- CHF 180 PhD-students
General terms and conditions (GTC)
Registration
Registration deadline
23.10.2024
The course has a limited number of places. Please apply by providing
- a brief motivation letter (150-200 words)
- your CV
- your employee/student card
on the application form on the course website.
All applications will be carefully reviewed. Notifications about the outcome will be sent outin the beginning of November.
Organiser
Course management
Dr Sara Kijewski, Chair of Bioethics, ETH Zurich
Lecturers
- Professor Effy Vayena, Bioethics, ETH Zurich
- Dr Elettra Ronchi, MPP, WHO/Europe consultant and adjunct lecturer at Science Po
- Dr Alessandro Blasimme, Senior Scientist, Health Ethics & Policy Lab, ETH Zurich
- other experts
Contact
Responsible body
ETH Zurich, D-HEST
Good to know
Target group
The course is open to doctoral students and mid-level professionals active in academic research, the private sector and policymaking from various disciplines including computer science, political science, philosophy, population health, medicine, biomedical sciences, law, and engineering.
Course language(s)
English
Additional information
The course will provide participants with the latest insights in current developments and equip them with the necessary competences, skills, tools, critical understanding and practical approaches to effectively address ethics and governance issues. By attending the “Health DARES” course, participants will be able to:
- Understand the health data ecosystems, the data lifecycle and value chain, and the stakeholders involved.
- Identify and critically examine key ethical challenges related to the use of health data and AI through real-life examples and case studies.
- Evaluate current strategies and approaches to address some of the main ethical challenges, their strengths as well as limitations.
- Analyse regulatory trends and the frameworks governing data uses, AI and the health applications resulting from them.