I spent Wednesday evening at the famous Studentersamfundet in Trondheim, debating AI with three Norwegian members of parliament, Karianne Tung, who is Norway’s Minister for Digitization, Simen Velle, a representative for FrP, and Hege Bae Nylund, a representative for Rødt. The debate was expertly led by Liva Flo.

It’s always interesting meeting politicians in real life. I have been deeply concerned about Karianne Tung’s decree that 80% of the public sector should use AI now and 100% by 2030 – but in person she appeared both more knowledgable and more nuanced than she is often represented in the media. Simen Velle and Hege Bae Nylund are in the same parliament committee, and had this constant friendly joking repartee going between them. They’re all friendly and seemed open-minded and interested – not at all the impression you get of politicians from short TikTok videos and media sound bites.

We covered topics from education to data centres to AI art, so there wasn’t room for a lot of depth. Here’s the student newspapers’ report of the debate, or you can watch the debate on YouTube, but unfortunately the sound isn’t too good.

This photo of me explaining something is too good not to share, though!! Thanks to Studentersamfundet for an excellent evening!

Women in a green top gesticulating.
Photo credit: foto.samfundet.no


Discover more from Jill Walker Rettberg

Subscribe to get the latest posts sent to your email.

Leave A Comment

Recommended Posts

screenshot of blogpost from sept 11, 2001, about blogger.com showing blog posts about the attacks
Networked Politics social media

25 years since September 11

I’ve been reading through my blog posts on September 11, 2001 and the days that followed. The things that stand out to me – in addition to the horror of the attack itself – are how massively we (or at least I) used the web to understand what was happening, […]

AI STORIES

AI-generated stories have longer endings than human stories

My colleague Jessica Witte has just shared a preprint where she compared the emotional arcs of the stories we generated using gpt-4o-mini to those of human-authored (pre-2022) stories from the subreddit r/WritingPrompts, conveniently gathered in this dataset. She found a distinct difference in the endings of the LLM-generated stories: both […]

How to peer review a paper in 2026

Dorothy Bishop, a psychologist, wrote a useful list of what reviewers need to look out now that so many papers are bad science that looks good thanks to LLMs. Read her whole blog post, she explains it well, but here’s a brief version because I’m pretty sure we’ll be needing […]

“So what if it was ChatGPT? It *could* have been true!”

I recently read a good article on the different kinds of truth a language model operates with by Luke Mann, Liam Magee and Vanicka Arora, Truth Machines: Synthesizing Veracity in AI Language Models, but despite its lovely typology of truths (consensus, correspondence, coherence and pragmatic) it doesn’t help me with […]

AI STORIES

AI shimmer and sparkle

I have this hunch that sparkles and glow and shimmer are somehow a point in the latent spaces of LLMs that have more connections than you would expect. Perhaps their connotation to magic and to the unknown matches some of the mystique of genAI? Or perhaps these words are used […]