Representative survey
ZDF has also commissioned a representative survey of 1,000 young adults on the subject of AI, which, according to the broadcaster, will also be included in contributions to the programme focus. ZDF has also already announced the first results: When asked ‘Would you be willing to be completely monitored by an AI if you were guaranteed personal security and data protection in return?’, 35.8 per cent of respondents agreed somewhat or even completely. And 43.9 per cent could imagine having a chip implanted that would monitor their health in real time and have the data analysed by an AI.
AI at the University of Bayreuth
At the University of Bayreuth, which is a member of the international AI Alliance for the development and promotion of open technologies for artificial intelligence software, models and tools, the topic of artificial intelligence is also becoming increasingly important. The university recently launched a new research infrastructure - the Research Centre for AI in Science & Society (RAIS2). This central platform for sharing AI expertise at UBT connects researchers, developers and users of AI methods across all faculties. Here, experts jointly address the current social, economic, ecological and technological challenges and opportunities that AI brings with it.
Specifically, the research centre is based on these pillars, which are to be further expanded in the future:
AI Technology (Lead: Prof. Dr. Anton Schiela) – The theoretical and methodological basis for RAIS2's research and teaching activities is bundled here.
AI for Life Sciences (Lead: Prof. Dr. Jörg Müller) – This pillar brings together expertise in the identification and development of AI methods for answering questions in the life sciences, as well as the acquisition of knowledge in the life sciences using artificial intelligence methods.
AI for Materials (Lead: Prof. Dr. Johannes Margraf) – The combination of AI in materials science and experimental materials research illustrates the interdisciplinary nature of the Bayreuth campus. A unique selling point with national and international visibility is expected.
AI for Business and Industry (Lead: Prof. Dr. Agnes Koschmider) – The importance and volume of data is also continuously increasing in business and industry, which is increasing the demand for methods to analyse data efficiently and use artificial intelligence effectively. This pillar is specifically dedicated to these applications, also in close cooperation with the Institute for Entrepreneurship and Innovation at the University of Bayreuth.
AI in Society (Lead: Prof. Dr. Lena Kästner) – Modern AI systems are increasingly permeating our everyday lives. Against this backdrop, this pillar poses the question: What impact does the widespread use of AI have on modern society?
AI for Environmental Sciences (Lead: Prof. Dr. Lisa Hülsmann) – The aim is to utilise the increasing wealth of data to gain knowledge and make predictions on environmental issues and to develop solutions for current problems such as climate change, environmental pollution, habitat loss and species extinction.