Who's Afraid of AI?
Artificial intelligence will have a significant impact on all of our lives. "It is therefore essential to deal with it early and thoroughly." (KI Campus, introductory course)
The seminar brings together three central social trends: digitalization using the example of artificial intelligence in different fields of application, self-determined learning and learning with free educational materials, the so-called Open Education Resources. The common approach to understanding artificial intelligence is interdisciplinary. No IT knowledge is required or will be acquired.
For each subject relevant to the discipline, there are different starting points to reflect on the crucial problem facing humanity, how we will and want to live tomorrow. Technology assessment as a methodological approach is a transdisciplinary approach that deals with the connections between technology and society in a case-oriented and practice-oriented manner and reflects them systematically.
The aim is to understand what artificial intelligence is, why it is called intelligent and how it learns to perceive applications that are taken for granted and used in everyday life, as well as to reflect on current and future fields of application, e.g. in medicine, care, business, ethics and education. The aim is to develop AI competence in order to recognize the opportunities and limitations of AI and to be able to realistically assess related reports.
Prof. Dr. Daniela Schmitz
Einer meiner thematischen Schwerpunkte liegt in der Gestaltung gesellschaftlicher und professioneller Veränderungsprozesse, insbesondere an den Schnittstellen von Technik, Zusammenarbeit und Gesundheitsversorgung. Im Seminar „Keine Angst vor KI“ steht die Auseinandersetzung mit Künstlicher Intelligenz im Mittelpunkt. Dabei geht es darum, Studierende für die gesellschaftlichen Auswirkungen technologischer Entwicklungen zu sensibilisieren, technik- und datenkompetente Handlungsmöglichkeiten zu entwickeln und eine rein technikdeterministische Sichtweise zu überwinden. KI soll nicht als ausschließlich technisches Thema verstanden werden, sondern als ein Feld, das aktiv durch unterschiedliche Professionen mitgestaltet werden kann.
In meinen weiteren Lehrangeboten zur multiprofessionellen Zusammenarbeit und zu Chronic Care steht die Frage im Vordergrund, wie unterschiedliche Berufsgruppen gemeinsam komplexe Herausforderungen in Versorgung und Gesellschaft bearbeiten können. Studierende sollen befähigt werden, fachliche Perspektiven zu verbinden, Verantwortung in interprofessionellen Kontexten zu übernehmen und innovative Ansätze für eine personenzentrierte Versorgung zu entwickeln.
Objectives & Competences
All students recognize connections between technology and society using the example of AI and can explain these from the perspectives of the sociology of technology using the example of the interaction between humans and machines based on selected scenarios.
Furthermore, they are able to classify the reporting on AI into realistic and exaggerated articles, to use important terms in the field of AI and ML unerringly and to name the risks and opportunities of AI. They learn to assess the impact of AI on themselves and their own environment. They acquire AI competence: knowing application scenarios/possibilities in different fields of action and assessing opportunities, consequences and risks.