Veranstaltungen

Lecture Series: "KI und mentale Gesundheit: Weiß der Computer besser als ich und mein Therapeut, ob eine Psychotherapie mir hilft?"

Date
23. Apr 2024, 6.15 pm - 7.45 pm
Location
Town Hall (Fischmarkt)
Series
lecture series: "Chancen und Risiken Künstlicher Intelligenz"
Organizer
City of Erfurt in collaboration with the University of Erfurt, the University of Applied Sciences Erfurt, the iba – Internationale Berufsakademie, the International University of Applied Sciences (IU) and the Health and Medical University (HMU)
Speaker(s)
Professor Kevin Hilbert (Health and Medical University Erfurt)
Event type
University lecture
Event Language(s)
German
Audience
Public

Lecture by Professor Kevin Hilbert as part of the joint lecture series "KI und Social Media: Risiken und Empfehlungen" (AI and Social Media: Risks and Recommendations) organised by the Erfurt universities in cooperation with the City of Erfurt.

After the University of Erfurt and Erfurt University of Applied Sciences have regularly organised joint lecture series on current socially relevant topics in recent years, there will be a joint public lecture series from all of Erfurt's universities in cooperation with the city of Erfurt for the first time in the summer semester of 2024. It is entitled "KI und Social Media: Risiken und Empfehlungen" and will take place on eight dates from 6.15 pm to 7.45 pm in the City Hall. Speakers from the University of Erfurt, the University of Applied Sciences Erfurt, the iba – Internationale Berufsakademie, the International University of Applied Sciences and the Health Medical University will shed light on various aspects of artificial intelligence (AI) from different scientific perspectives. The series of events will conclude in autumn with a panel discussion at which representatives from the universities will discuss with guests the role AI already plays in research and teaching.

about this lecture:
Although psychotherapy is effective, it does not help all patients. But perhaps a different therapy approach would have helped some of them? Ideally, we would treat all patients with the therapy method that is best for them individually. With the help of machine learning and artificial intelligence, researchers are trying to get closer to this vision of the future and find out who will or will not be helped by which therapy. Will the computer soon know better than us or the therapists? The lecture will present current findings and provide an opportunity for discussion.

All interested parties are cordially invited to attend. Admission is free. Please note, however, that the number of seats is limited to 180.