At a time of growing skepticism about the capabilities, influence, and societal impact of large language models, calling „AI-generated“ a quality label could certainly be seen as a bold claim. How
At a time of growing skepticism about the capabilities, influence, and societal impact of large language models, calling „AI-generated“ a quality label could certainly be seen as a bold claim.
How can quality be ensured when the training of future AI models increasingly relies on AI-generated content? Some even argue that LLMs are not just an impasse for content creation, but a dead end in general.
At the same time, reaching audiences has become much harder in the constant stream of information across fragmented platforms – and in times where search no longer leads to traffic, visibility has become a major challenge for media companies. So, what strategies are working? Where are the success stories, particularly in local journalism?
What tools could AI realistically offer that don’t yet exist? And last but not least: What is the role of humans in the future of content creation? These are the questions this panel sets out to explore – always with a clear focus on practical applications in the day-to-day operations of media companies.
The panel discussion is presented by GenKI4Media, a project dedicated to the development of generative AI assistants for the media, cultural, and creative sectors and funded by the Federal Ministry of Research, Technology and Space.
