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This is kind of comforting, weirdly: a Republican arguing that we should vote for Kerry because Bush is an extremist caricature of a conservative. See, if Kerry’s elected, the Republicans will have to work out why Bush lost, and become more moderate. And Kerry’s going to have so much mess to clean up that he’s unlikely to be reelected, so in four years time a “good” Republican government will be elected. I heard someone argue this on Norwegian TV a while back: the best thing that could happen is that Bush is reelected, because that would cause a second civil war in the US and you’d have a chance for a real change in politics.

The libertarian writer Lew Rockwell has mischievously noted parallels between Bush and Russia’s last tsar, Nicholas II: both gained office as a result of family connections, both initiated an unnecessary war that shattered their countries’ budgets. Lenin needed the calamitous reign of Nicholas II to create an opening for the Bolsheviks.

So if you’ve been anxious about the election, reloading that predictor of who’ll win most electoral votes based on current polling (it keeps tipping back and forth, I warn you) perhaps you can stem your anxiety. Or increase it: no matter what happens, it could get worse.

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AI and algorithmic culture University politics

Academics in Norway: Sign this petition asking for research-based discussions of how to use AI in universities

I just signed a petition calling for Norwegian universities to use research expertise on AI when deciding how to implement it, rather than having decisions be made mostly administratively. ,  If you are a researcher in Norway, please read it and sign it if you agree – and share with anyone else who might be interested. The petition was written by three researchers at UiT: Maria Danielsen (a philosopher who completed her PhD in 2025 on AI and ethics, including discussions of art and working life), Knut Ørke (Norwegian as a second language), and Holger Pötzsch (a professor of media studies with many years of research on digital media, video games, disruption, and working life, among other topics).  This is not about preventing researchers from exploring AI methods in their research. It is about not uncritically accepting the hype that everyone must use AI everywhere without critical reflection. It is about not introducing Copilot as the default option in word processors, or training PhD candidates to believe they will fall behind if they do not use AI when writing articles, without proper academic discussion. Changes like these should be knowledge-based and discussed academically, not merely decided administratively, because they alter the epistemological foundations of research. Maria wrote to me a couple of months ago because she had read my opinion piece in Aftenposten in which I called for a strong brake on the use of language models in knowledge work. She was part of a committee tasked with developing UiT’s AI strategy and was concerned because there was so much hype and so few members of the committee with actual expertise in AI. I fully support the petition. There are probably some good uses for AI in research, but the uncritical, hype-driven insistence that we must simply adopt it everywhere is highly risky. There are many researchers in Norway with strong expertise in AI, language, ethics, working life, and culture. We must make use of this expertise. This is also partly about respect for research in the humanities, social sciences, psychology, and law. Introducing AI at universities and university colleges is not merely a technical issue, and perhaps not even primarily a technical one. It concerns much more: philosophy of science, methodological reflection, epistemology, writing, publishing, the working environment, and more. […]

screenshot of Grammarly - main text in the middle, names of experts on the left with reccomendations and on the right more info about the expert review feature
AI and algorithmic culture Teaching

Grammarly generated fake expert reviews “by” real scholars

Grammarly is a full on AI plagiarism machine now, generating text, citations (often irrelevant), “humanizing” the text to avoid AI checkers and so on. If you’re an author or scholar, they also have been impersonating and offering “feedback” in your name. Until yesterday, when they discontinued the Expert Review feature due to a class action lawsuit. Here are screenshots of how it worked.