Mar 06, 2025
Book publication: Regulatory Competition in the Digital Economy
In the newly published book "Regulatory Competition in the Digital Economy", authors from the fields of law, computer science and Business Administration and Economics intensively analyze issues such as large language models and AI.
The editors of the book, including Prof. Dr. Lars Hornuf , are organizing a book release party with a short presentation of the book at the BSP Business & Law School in Berlin on 23 April 2025 from 6.45 pm, followed by a keynote speech and a panel discussion (including Robert Kilian from the German AI Association). The symposium will be rounded off with a champagne reception and buffet. Further details will be published on the website of the BSP Business & Law School in Berlin. Registration is possible via lars.hornuf@tu-dresden.de.
The following topics and questions are part of the book:
When the American company OpenAI launched the large language model (LLM) ChatGPT, it was a revolution for many users:inside of Generative AI. Companies all over the world are now working on LLMs. Google now offers Gemini and Meta LLaMA and only recently the Chinese start-up DeepSeek shook up the tech industry. In contrast, Mistral in France and AlephAlpha in Germany are comparatively small companies, which is also due to the fact that a legal basis has been created in Europe with the AI regulation. But what does attractive AI regulation actually look like and which regulation do companies that pursue data-based business models prefer?
In addition to voice models, the platform economy is also grappling with questions of regulation. Mark Zuckerberg, for example, announced the end of content control and fact checks. Are legislators around the world cleverly trying to attract these companies by regulating them accordingly?
A "podcast" generated with the help of Google's NotebookLM AI, which concisely discusses and summarizes the topics of the book, can be found at the following link: https: //datashare.tu-dresden.de/s/gWY36DqkoxXsbfd.