Ki in sight: Lecture illuminates opportunities and risks of technology!

Ki in sight: Lecture illuminates opportunities and risks of technology!

On January 16, 2025 at 7:00 p.m., the International News Museum in Aachen invites you to a lecture by Prof. Dr. Philipp Dreesen from the Institute for Applied Linguistics at Zhaw Zurich. The thematic focus of the event is on the influence of artificial intelligence (k.i.) on information processing, data processing and communication. Central questions are also highlighted, such as the influence of K.I. On the quality and structure of public discourses, the risks of the K.I. mission for diversity of opinion and truth as well as the opportunities for designing inclusive and participatory debates.

The lecture will present the basics of text-generating K.I. Applications from a linguistic perspective. In addition, there will be an inventory of current challenges in public opinion formation. Forecasts on future training of voice models and a discussion about possible text flooding are also on the agenda, and questions about the identity of the interlocutors are dealt with. The event takes place in cooperation with the Society for German Language and was published on January 9, 2025, as the city of Aachen reported ( https://www.aachen.de/de/stadt_buerger/pressemitteilungen/izm-deklung.html ).

ethical challenges of artificial intelligence

The rapid development of artificial intelligence throws up complex ethical questions that are becoming increasingly important. As das-wissen.de reports, AI systems affect numerous areas of life, including medicine, mobility and the world of work. The need for a profound examination of the moral dimensions of AI use is becoming increasingly clear, since AI offers opportunities for increases in efficiency and new scientific knowledge as well as concerns about data protection, loss of autonomy, decision transparency and potential abuse.

Central ethical questions that are raised in the context of AI concern, among other things, the transparency and explanability of AI decisions, responsibility and liability in the event of lack of AI systems and the protection and avoidance of bias. In order to cope with these challenges, ethical guidelines and standards are necessary that require a dynamic process in which stakeholders from computer science, law, ethics and civil society must be included.

-transmitted by West-Ost-Medien