Biografie
Maria Christoforaki studierte Informatik am Fachbereich Informatik der Universität Kreta, Griechenland, und hat einen MSc-Abschluss in Informationssystemen und Software-Engineering von derselben Einrichtung. Sie arbeitete für das Institut für Institute of Computer Science, Foundation for Research and Technology - Hellas (FORTH); an der Universität Passau, Deutschland, in der Digital Humanities Group am Lehrstuhl für Digitale Bibliotheken und Web-Informationssysteme der Fakultät für Informatik und Mathematik sowie am Lehrstuhl für Digital Humanities der Fakultät für Geisteswissenschaften und an der Universität St. Gallen, Schweiz. Seit August 2020 ist sie am Institut für Medizinische Informatik der Uni Klinik Köln tätig. Ihre Fachgebiete sind KI-Ethik, semantische Datenmodellierung und Digital Humanities.
Kontakt
- E-Mail maria.christoforaki@uk-koeln.de
- Büro BI-K - Geb. 705 - Zülpicher Str. 58e - 50672 Köln - 1 OG - Raum 1.007
Fachliche Ausbildung
Fachgebiete
Forschungsfokus
- AI Ethics
Aktuelle Lehre
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
In KLIPS anzeigenWissPro - 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.
In KLIPS anzeigenEthical 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.
In KLIPS anzeigen
