Automatically created publications

Automatically created documents play an important role in digitalized compliance processes. Publications are also created algorithmically outside of compliance processes. A well-known example is MIT’s fake papers, which were submitted to academic journals and, surprisingly, accepted [1]. On October 8, 2019, an employee of the Springer publishing house presented the first chemistry book written by a computer at a conference in Osnabrück. The book is not fake – it is intended as a serious publication. It cost EUR 100.99 on Amazon on the day of the conference, but can be downloaded free of charge as a PDF from the Springer website. One of the attendees did exactly that and checked whether the newly appointed Nobel Prize winners in chemistry appear in the Springer book.

You can guess the result: only two of the three laureates, John Goodenough, Stanley Whittingham and Akira Yoshino, appear in the book. Akira Yoshino is missing; it’s not clear why. What can we learn from this? Automatically generated publications and reports are nothing more than nicely presented search results. Since search results are never perfect, neither are auto-generated publications. Nor can you expect anything new or creative from such publications. So are they useless? They can be helpful for sifting large text collections. Problems arise when, due to a lack of media competence, the results are assigned disproportionate significance. However, a creative person may well discover something new in the automatically compiled data.

Robots are also being used in journalism. The Keystone SDA copywriting robot, which is named “Lena”, described how the individual municipalities of Switzerland voted in the referenda of November 25, 2018 [3,4]. It is striking that the first six descriptions all end with “municipality XY thus voted in the same way as Switzerland as a whole – and as the Canton of Aargau”. A copywriting robot known as “Tobi” is also used in the Tamedia media group [5].

 

Links:

[1]http://news.mit.edu/2015/how-three-mit-students-fooled-scientific-journals-0414

[2] https://link.springer.com/book/10.1007/978-3-030-16800-1#about

[3] https://www.keystone-sda.ch/lena

[4] https://www.keystone-sda.ch/mitteilungen/-/asset_publisher/4vbWh5AEPv2i/content/textroboter-lena-kommt-am-kommenden-abstimmungssonntag-erstmals-zum-einsatz/maximized

[5] https://www.tamedia.ch/de/gruppe/newsroom/medienmitteilungen/textroboter-tobi-vertieft-die-berichterstattung-ueber-die-abstimmungen-vom-25-november-auf-gemeindeebene

Data Protection Act

The Swiss Data Protection Act underwent a complete revision in 2020, and its new version took effect on September 1, 2023, along with the new Data Protection Ordinance (DPO). The revision itself is complete, but its practical application continues to evolve. The topic of AI is particularly relevant: On May 8, 2025, the FDPIC confirmed that the DPA is technology-neutral and applies directly to all AI applications. In practice, this means, among other things, that users must know whether they are interacting with AI (transparency requirement, Art. 19), and that a data protection impact assessment is mandatory in cases of high risk—such as profiling or facial recognition (Art. 22). The Federal Office of Justice (FOJ) is drafting a consultation document on AI regulation to be completed by the end of 2026. With this, Switzerland will implement the Council of Europe's AI Convention.

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