Biography
Maria Christoforaki studied Computer Science at the Department of Computer Science, University of Crete, Greece, and holds an MSc degree in Information Systems and Software Engineering from the same Institution. She worked for the Institute of Computer Science, Foundation for Research and Technology - Hellas (FORTH); University of Passau, Germany, Digital Humanities Group at the Chair of Digital Libraries and Web Information Systems, Faculty of Computer Science and Mathematics, and Chair of Digital Humanities at the Faculty of Arts and Humanities; and University of St. Gallen, Switzerland. Since August 2020, she has been working for the Institute for Medical Informatics at the Uni Klinik Köln. Her main areas of expertise are AI Ethics, semantic data modelling, and digital humanities.
Contact
- Email maria.christoforaki@uk-koeln.de
- Office BI-K - Geb. 705 - Zülpicher Str. 58e - 50672 Köln - 1 OG - Room 1.007
Academic Background
Areas of Expertise
Research Focus
- AI Ethics
Current Teachings
AI in Medicine Series
Artificial intelligence is already fundamentally changing medicine, but how do the underlying methods work, and what opportunities and challenges do they present? In this series of seminars, each session will cover a new, practical topic, including the basics of some AI methods, ethical challenges and possible solutions. The lectures, depending on the speaker, could be in German or English, are thematically linked but self-contained
Show in KLIPSStudium Integrale: AI Ethics
The course aims to familiarise students with the basic concepts of the domain and to highlight the challenges posed by the explosion of data-driven applications using Artificial Intelligence (AI) in recent years. Topics to be covered include an introduction to data-driven AI and Machine Learning, artificial agents, privacy and consent, bias and discrimination. The course is entirely online, held in English, and assessed through presentations based on scientific publications selected by the students in collaboration with the tutor.
Show in KLIPSEthical aspects of Medical AI applications
Short (two sessions) introduction to the ethical issues of Medical AI applications. We identify the ethical implications of AI applications in Medicine, focus on data collection and use, the risks of artificial intelligence technologies, and bias and discrimination, and address the impact of automated decision-making in Medical AI Applications. The lectures are in English and are held online.
Show in KLIPSWissPro - Literaturrecherche
This course is offered to medical students interested in WissPro 1 and 2, involving literature research. It includes an introductory lecture on literature search strategies and best practices, as well as presentations on the topics offered by different members of our institute. The work is organised according to a schedule with several checkpoints and concludes with on-site presentations by the participating students.
Show in KLIPS
