The case demonstrates how privacy regulations and human rights laws can rein in government use of automation. It’s among several recent examples of European regulations limiting government programs that turn algorithms and artificial intelligence on citizens. In the US, however, such guardrails generally are lacking.
But unlike many of Instagram’s users, Mosley and her high school friends in Maryland had figured out a way to fool tracking by the Facebook-owned social network. On the first visit, her Explore tab showed images of Kobe Bryant. Then on a refresh, cooking guides, and after another refresh, animals.
On China’s Twitter-like Weibo platform, many joked darkly about the similarities between the games and the real situation. “The best way to get rid of fear is to face the fear itself,” wrote 17173, a Chinese game news site, commenting on Plague Inc.’s sudden rise in popularity. Some users said that in order to have a more immersive experience, they chose China as the origin country that exports the virus to other regions in the game.
A website that goes off-line in evening could be an interesting option for a local online publication with low anticipated traffic after midnight. However, since Low-tech Magazine’s readership is almost equally divided between Europe and the USA this is not an attractive option. If the website goes down every night, our American readers could only access it during the morning.
Ein künstliches neuronales Netz, so die Mathematikerin Hannah Fry in ihrem Buch “Hello World“, kann man sich “als eine riesige mathematische Struktur vorstellen, mit jeder Menge Schaltern und Reglern. Man speist ein Bild an einem Ende ein, es fließt durch eine Struktur, und am anderen Ende kommt eine Vermutung heraus, was dieses Bild enthält. Eine Wahrscheinlichkeit für jede Kategorie: Hund oder nicht Hund.”
The wonderful people from MOTIF Institute are well worth following on twitter for their insights on AI and digital culture. Much love for their speculative approach to envisioning possible future scenarios (at Das ist Netzpolitik conference. in German):
In academic settings, people care more about training whereas in production, people care more about serving. Candidates who have only learned about machine learning but haven’t deployed a system in the real world often make the mistake of focusing entirely on training: getting the model to do well on some benchmark task without thinking of how it would be used.
Rainer Rehak has been working on the subject of “Computer Science and Society” for about ten years. He studied computer science and philosophy in Berlin, Hong Kong and Beijing. During his studies he worked at the Chair of Computer Science in Education and Society by Wolfgang Coy. He is currently doing his doctorate at the Weizenbaum Institute for the networked society and teaching at the HTW-Berlin in the fields of data protection and data security, computer science and society as well as networks. Rainer also works as an IT security / privacy advisor and Unix server administrator.
Where: Ladenlokal, Zinnowitzer str. 7, 10115 Berlin
When: Monday, 09.12.19. – 19:00 Uhr
Forum InformatikerInnen für Frieden und gesellschaftliche Verantwortung (FIfF e. V.), Regionalgruppe Berlin und im Vorstand, fiff.de
Gesellschaft für Informatik (GI e. V.), Fachgruppe Informatik und Ethik, im Leitungsgremium, fg-ie.gi.de
Amnesty International, Sektion Deutschland, Themenkoordinationsgruppe „Menschenrechte im digitalen Zeitalter“, amnesty-digital.de