Teaching and learning with AI


Since the beginning of 2023, the topic of artificial intelligence (AI for short) has moved into the focus of our society in general and university teaching in particular: starting with ChatGPT, there are now a large number of different AI models and tools that are accessible to a broad public.
AI tools offer a wide range of use cases for teachers and students but also raise many questions: How can we use such tools purposefully and responsibly in teaching? Where are the boundaries between supporting technology and independent study? What are the implications for examinations?
We would like to keep you up to date on interesting developments in the field of AI, provide you with important links and tips and draw your attention to our AI events and workshops.


KI_Lehre

AI for teaching

KI_Lernen

AI for studying

kipruefungen

Create AI-sensitive exams

kiethik

Ethical and juridical questions

KI_Netzwerke

Networks at the university of Göttingen

kitools

AI tools

LLm_gwdg

Chatbot of the GWDG

Aktuelle Workshops

Current workshops and events

Vergangene_Veranstaltungen

Past workshops and events


What is AI?

AI stands short for artificial intelligence. It refers to the development of algorithms and computer programs that enable machines to perform tasks that typically require human intelligence, such as problem-solving, language processing, visual perception, and other cognitive functions. The goal of Artificial Intelligence is to endow machines with capabilities that encompass learning, problem-solving, language processing, visual perception, and similar cognitive functions. There are two primary types of Artificial Intelligence: weak Artificial Intelligence (weak AI) and strong Artificial Intelligence (strong AI). Weak Artificial Intelligence pertains to systems focused on specific tasks or problem areas, while strong Artificial Intelligence would have a general intelligence, comparable to human intelligence. Artificial Intelligence applications are diverse and range from machine learning and deep learning to robotics, natural language processing, computer vision, and many other fields. Artificial Intelligence is employed in various industries and sectors such as healthcare, finance, automotive, education, and entertainment.