Introduction to AI ethics – foundations, challenges, and tools for reflection

TitelZeitRaumDozent
Introduction to AI ethics – foundations, challenges, and tools for reflection13.02.2025 09:30 - 12:30 (Do)NHB 31, Room 003Theresa Willem
Course Information
Kursformat: 
Offline/In Person
Sprache: 
English
Number of credit hours: 
3.00
Freigabe nötig?: 
No
Display for externals: 
Display course on overview for external visitors of the site
Beschreibung
Beschreibung: 

This workshop begins with a concise introduction to AI ethics, emphasizing key principles such as justice, and autonomy, alongside an exploration of the unique ethical challenges AI poses in the life sciences. Participants will then engage in two interactive exercises: the Ethics Canvas, a structured framework for identifying and addressing ethical issues in AI projects, and Ethical Impact Statements, a reflective tool for assessing the broader implications of AI applications, that is increasingly asked when submitting scientific publications. This workshop equips participants with knowledge and practical tools to reflect on the ethical complexities of their AI projects.

Bedingung für Teilnahme: 

Please be aware of the booking and unbooking periods. After successful registration, if you do not attend, without prior or subsequent notification from you explaining/excusing your absence, our cancellation policy will come into effect. This means that you cannot book any of our workshops for the next 6 weeks and if you're a doctoral researcher we will deduct 250 € from your travel grant funds.

Kurskosten in Euro: 
€0.00
Zielgruppe(n): 
Doctoral Researcher
Postdocs
Kursthemen: 
Persönliche Kompetenz
Digitalkompetenz
Organisierendes Institut/ Unit: 
Scientific Talent and Career Development (SPR)
Trainer Information
Trainer (Internal/External): 
Internal

Theresa Willem is an AI Ethics Consultant at Helmholtz AI and manages the Munich Embedded Ethics and Social Science Hub at TUM. Currently finishing up her PhD in medical AI ethics at TUM’s School of Social Sciences and Technology, her research spans ethical and social aspects of AI and digital health. Theresa contributed to projects like TherVacB, exploring the ethics of patient recruitment via AI-powered social media platforms, and DR-AI, focusing on the ethics of AI applications for radiology and dermatology. Earlier, Theresa studied media sciences in Regensburg, Berlin, and Brussels and worked in the Berlin health tech startup ecosystem. Theresa is an alumna of the Bavarian Elite Academy and the German National Academic Foundation.

Kapazität
Kapazität: 
7/20
Mindestanzahl Teilnehmer: 
8

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