What exactly does the buzzword »artificial intelligence« mean? And what are the implications of machine learning and neural networks?
Good science journalism has the opportunity to update outdated ideas and provide orientation on recent as well as emerging risks and opportunities. At the same time, machine learning applications in particular are useful for big data research, visualization, and pattern recognition. These applications can help journalists to find their way in the digitalized (science) world and to improve science journalism. For both challenges, RHET AI Center offers the »Cyber Valley Journalist-in-Residence Program«.
In the creative freedom of three to six paid months, (science) journalists can research a self-chosen issue in exchange with AI researchers from different disciplines. During their stay, journalists-in-residence not only have the opportunity to learn about the basics, possibilities and limits of machine learning, computer vision and robotics. They will also be able to establish their own network with researchers and various institutions working on AI and its impact on science, business and society.
How to apply?
Interested media representatives can apply via email to Cyber Valley Public Engagement Manager Patrick Klügel by February 15, 2022 with a cover letter, resume, and idea paper. The two-page idea paper illustrates which journalistic challenge is to be solved during the stay with regard to the topic of AI or with the help of AI. The selection decision will be made by a jury by early March 2022.
Further information on the call for applications and the process of the Cyber Valley Journalist-in-Residence program is summarized in this document (in German).