THM wants to take away fear of self-learning technology

A responsible use of artificial intelligence is required. Because it is a key technology for the next decades. The THM’s “Responsibility Future” lecture series therefore focuses on this topic.

FRIEDBERG – She sneaked into our lives as soon as she noticed and makes it easier in many areas: she decides when the traffic lights turn green, she looks for the next song in the playlist, she recommends films or matching t-shirts, she takes cell phone photos to small works of art or charge insurance premiums. In all of this it is sometimes more, sometimes less pronounced: artificial intelligence. The social point system with which China monitors its citizens is an example of the fact that it can also be used in other ways. Responsible use of a key technology for the next few decades is therefore required. That is why the lecture series “Responsibility Future” from Wednesday, May 5th, which the Technische Hochschule Mittelhessen (THM) organizes in cooperation with the education forum in the city marketing and Friedberg tourist office, approaches this topic. At the beginning, together with Prof. Kristina Sinemus, Hessian Minister for Digital Strategy and Development, the “Megatrend Artificial Intelligence” and the Hessian perspective will be discussed. “AI is one of the most important drivers for innovation and is increasingly influencing science, business and society,” says Sinemus. Artificial intelligence must first and foremost serve people – this is the maxim under which the country is pursuing its strategy of expanding AI under the umbrella of “hessian.AI”.

Use in cardiology

This new AI center, in which 13 Hessian universities bundle research, application orientation and transfer, is the focus of Dr. Annette Miller. The THM is represented by Prof. Michael Guckert. At the kick-off event, together with President Matthias Willems, he will show the focus and areas of interest of the THM, the university announced.

“You can no longer avoid AI and you don’t have to be afraid of it,” says Guckert. As with any technology, it depends on how it is used. In addition, even to this day and in the long term, even self-learning machines and programs are only superior to people in their specialist areas. “A chess computer that defeats the world champion will lose to children in the Mau-Mau,” says Guckert. The practical use of the technology is exemplified by the event “AI in the diagnostics of the cardiologist” on May 26th, when Guckert and Vice President Katja Specht greet the physician Prof. Till Keller from the Justus Liebig University. Pattern recognition as the prime discipline of AI, Keller will explain and show, not only helps with the analysis of ECG data.

Previously, on May 19, Dr. Thomas Farrenkopf from the Department of Mathematics, Natural Sciences, Data Processing, together with Hilmar Gensert, Managing Director of Kamax Tools & Equipment from Homberg (Ohm), about the role artificial intelligence has in industrial production. The company has developed a new, modular production concept for toolmaking that reduces throughput times from eight weeks to just a few hours, making it possible to respond to special customer requests within days. Gensert and Farrenkopf want to present such a fully digitized process as an example.

All lectures begin at 7 p.m., are moderated by Prof. Holger Rohn and streamed live on YouTube from the Friedberger Lernfabrik. They remain permanently available there. Further information and the link to the THM YouTube channel are available at go.thm.de/ringvorlesung on the Internet. Photo: HessMinD

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