Jill Walker Rettberg

@jilltxt.bsky.social

Co-Director at Center for Digital Narrative, Univ of Bergen. Lead research project AI STORIES (ERC Advanced Grant). Australian and Norwegian. Blogging at jilltxt.net since 2000.

Widespread uptake of doorbell cameras paved the way for this. People really struggle to grasp that they are laying down the foundations of privately owned mass surveillance with every “personal” decision to buy this crap.

Hypervisible @hypervisible.blacksky.app · 15h ago

“Although the buyers of this kind of technology, whether it be smart glasses or watches, may consent to their every move being monitored, the innocent bystanders that they record don’t necessarily give their blessing.”

Literally *years* of research on AI in education - *reams* of it by now - just does not support such sweeping proposals for mass AI access for students or educator "AI trailblazers", and it's maddening to see such uninformed, industry-friendly, research-free ideas from key sector bodies

Margot Finn@eicathomefinn.bsky.social · 22h ago

'Every undergraduate would also be entitled to access artificial intelligence (AI) tools, the roadmap states, while every course should have a lecturer who is an “AI trailblazer” so that “graduates have the skills to be AI pioneers in the workplace”.' AI trailblazers. UUK at its very finest.

A woman, seen from the back and wearing a black coat, holds a sign that says "We won't drink the Kool-Aid".

Denne var veldig god! Anbefales for alle som er interessert i skriving, i studenter, i kommunikasjon, i utdanning...

Jill Walker Rettberg@jilltxt.bsky.social · 2d ago

Writing professor @johnrgallagher.bsky.social explains how LLMs generate orbital reasoning that skims yet avoids the key issues, and how AI-generated lists avoid causal connections and other analysis, making texts harder to read. The talk made me inspired to write! www.youtube.com/watch?v=cHRs...

The video of Marwa Abdulhai and Isadora White's talk about this paper is now online here - they present a pretty complex computer science paper so clearly, I highly recommend watching it if you're interested in using LLMs to edit or draft writing might do: www.youtube.com/watch?v=OnDQ...

How LLMs Distort Our Written Language #AIStories

YouTube video by Center for Digital Narrative, UiB

youtube.com

Aparna Nair@disabilitystor1.bsky.social · 2w ago

Linkedin post here: lnkd.in/p/gjkcygv7

My latest for @theverge.com is all about everyone's new favorite pastime: destroying Flock cameras. Tech backlash has entered a critical moment where folks not only widely oppose AI & tech industry excess, but openly support direct action against its most tangible and visible targets. 🎁 Gift Link:

Americans are cheering for vigilantes who take down Flock cameras

The surveillance cameras have become another flashpoint of growing bipartisan anger against tech industry excess.

theverge.com

My colleague Jessica Witte just shared a preprint where she uses sentiment analysis on AI-generated and human-authored stories and finds a pretty clear difference: AI stories have these long, slow rises in sentiment while human stories wait until the very end to conclude jilltxt.net/ai-generated...

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 subr…

jilltxt.net

Humanity #2: our uni travel reimbursement used to send rejections with terse anonymous msgs saying "you did it wrong! Fix it!" Now I get friendly signed emails with longer explanations and "have a nice day!" I feel much less stressed about travel reimbursements, though I still always make mistakes.

After the journal's draconian and automated "this is the absolute only time you can correct proofs for this article" the kind proof reader emailed me a 2nd corrected version to check. Maybe kind of backchannel, didn't show up in the journal system. It felt like a glimpse of humanity and I love it.

"Across studies we find extreme opinions are overrepresented on social media by at least 6% and up to 22% compared to their true prevalence in our samples." Paper: osf.io/preprints/ps... This is largely why i ignore radicalized loudmouths on any platform. Not only are they wrong, they're also fake

Jay Van Bavel, PhD@jayvanbavel.bsky.social · 2w ago

Social media discourse is driven by false #polarization We find that: 1) ideologues post opinions more than moderates 2) extreme attitudes are posted more than moderate one 3) This replicates in 40 countries 4) Opinions that users post are more hostile than the beliefs they keep to themselves