Tessera

Shannon Proksch

@skproksch.bsky.social

I study brains and interacting people 🧠 Assistant Professor of Psychology and Neuroscience at Augustana University | Music Cognition | Social Interaction | Complex Systems | EEG/TMS

0 Posts425 Follower 964 Folgt

samuel mehr @mehr.nz · last wk.

cc: scientists who work with protected human data, and especially those ones who are also AI evangelists

Maggie Harrison Dupré@mharrisondupre.bsky.social · last wk.

NEW: A large trove of Claude-generated documents have been exposed to the web and indexed by Google. We reviewed what appear to be real medical records, the full names and phone numbers of school-aged children, and company documents marked for internal use only. futurism.com/artificial-i...

Kieran Healy @kjhealy.co · 4w ago

If students are simply uninterested in the core bargain of a class like this, it’s hard to know what to do. You teach the material because you think it’s important they know it; they don’t give a shit, but want the credential; and the university wants their money. Your main option is “pretend”.

Andrew Heiss@andrew.heiss.phd · 4w ago

woof ≈80% of assignments this summer term have essentially been just raw chatgpt/claude output, including assignments that required designing stuff in illustrator/affinity/canva. The battle is lost for asynchronous online courses.

M.J. Crockett @mjcrockett.bsky.social · last mo.

Weizenbaum does not mince words! He describes as "obscene," "an attack on life itself," "all projects that propose to substitute a computer system for a human function that involves interpersonal respect, understanding, and love" ...

Alondra Nelson @alondra.bsky.social · 5mo ago

The Epstein files document what many women researchers have long experienced but rarely seen laid bare so starkly: exclusion operating behind closed doors, shaping who gets funded, invited, mentored, and taken seriously. How many of these networks, norms, and gatekeepers remain in place?

19thnews@19thnews.org · 5mo ago

The trove of files released by the Department of Justice, illuminates Epstein’s deep interest and entrenchment in the scientific community. But the files also underscore how he used his power and money in ways that kept women out of places where they might succeed. https://bit.ly/4qWgPLz

Alondra Nelson @alondra.bsky.social · 7mo ago

🧵 Trump administration AI policy is widely described as deregulatory. This description is misleading. What's happening is not the absence of governance but its rearrangement--intensive state intervention operating through mechanisms we don't typically call regulation. www.science.org/doi/10.1126/...

The mirage of AI deregulation

One of the most interventionist approaches to technology governance in the United States in a generation has cloaked itself in the language of deregulation. In early December 2025, President Donald Tr...

science.org

Iris van Rooij 💭@irisvanrooij.bsky.social · 7mo ago

☀️ Summer School 📚 “Critical AI Literacies for Resisting and Reclaiming" Organisers and teachers: 👉 @marentierra.bsky.social 👉 @olivia.science 👉 myself Deadline for application: 🐦 31 March 2026 (early bird fee) 1/🧵 www.ru.nl/en/education...

Critical AI Literacies for Resisting and Reclaiming | Radboud University

This course is designed to foster critical AI literacies in participants to empower them to develop ways of resisting or reclaiming AI in their own practices and social context.

ru.nl

Robert McNees @mcnees.bsky.social · 9mo ago

Journalist challenge: Use “Machine Learning” when you mean machine learning and “LLM” when you mean LLM. Ditch “AI” as a catch-all term, it’s not useful for readers and it helps companies trying to confuse the public by obscuring the roles played by different technologies. 🧪

Iris van Rooij 💭@irisvanrooij.bsky.social · 9mo ago

‘Study after study shows that students want to develop these critical thinking skills, are not lazy, and large numbers of them would be in favor of banning ChatGPT and similar tools in universities’, says @olivia.science www.ru.nl/en/research/...

‘Opposing the inevitability of AI at universities is possible and necessary’ | Radboud University

Since the widespread release of ChatGPT in December of 2022, AI has taken over much of the world by storm – including academia. Most of this happened with very little pushback, despite a myriad of iss...

ru.nl

Olivia Guest · Ολίβια Γκεστ @olivia.science · 11mo ago

Finally! 🤩 Our position piece: Against the Uncritical Adoption of 'AI' Technologies in Academia: doi.org/10.5281/zeno... We unpick the tech industry’s marketing, hype, & harm; and we argue for safeguarding higher education, critical thinking, expertise, academic freedom, & scientific integrity. 1/n

Abstract: Under the banner of progress, products have been uncritically adopted or
even imposed on users — in past centuries with tobacco and combustion engines, and in
the 21st with social media. For these collective blunders, we now regret our involvement or
apathy as scientists, and society struggles to put the genie back in the bottle. Currently, we
are similarly entangled with artificial intelligence (AI) technology. For example, software updates are rolled out seamlessly and non-consensually, Microsoft Office is bundled with chatbots, and we, our students, and our employers have had no say, as it is not
considered a valid position to reject AI technologies in our teaching and research. This
is why in June 2025, we co-authored an Open Letter calling on our employers to reverse
and rethink their stance on uncritically adopting AI technologies. In this position piece,
we expound on why universities must take their role seriously toa) counter the technology
industry’s marketing, hype, and harm; and to b) safeguard higher education, critical
thinking, expertise, academic freedom, and scientific integrity. We include pointers to
relevant work to further inform our colleagues.

Figure 1. A cartoon set theoretic view on various terms (see Table 1) used when discussing the superset AI
(black outline, hatched background): LLMs are in orange; ANNs are in magenta; generative models are
in blue; and finally, chatbots are in green. Where these intersect, the colours reflect that, e.g. generative adversarial network (GAN) and Boltzmann machine (BM) models are in the purple subset because they are
both generative and ANNs. In the case of proprietary closed source models, e.g. OpenAI’s ChatGPT and
Apple’s Siri, we cannot verify their implementation and so academics can only make educated guesses (cf.
Dingemanse 2025). Undefined terms used above: BERT (Devlin et al. 2019); AlexNet (Krizhevsky et al.
2017); A.L.I.C.E. (Wallace 2009); ELIZA (Weizenbaum 1966); Jabberwacky (Twist 2003); linear discriminant analysis (LDA); quadratic discriminant analysis (QDA).

Table 1. Below some of the typical terminological disarray is untangled. Importantly, none of these terms
are orthogonal nor do they exclusively pick out the types of products we may wish to critique or proscribe.

Protecting the Ecosystem of Human Knowledge: Five Principles

Chanda Prescod-Weinstein 🌌@chanda.blacksky.app · 12mo ago

This should get WIDE circulation: MIT stating that it “has no confidence in the provenance, reliability or validity of the data and has no confidence in the veracity of the research contained in the paper.” gizmodo.com/mit-backs-aw...

MIT Backs Away From Paper Claiming Scientists Make More Discoveries with AI

The retracted paper had impressed a Nobel Prize winner in economics.

gizmodo.com

Alex Brown 🇵🇸 (they/them)@bookjockeyalex.bsky.social · last yr.

LLMs cannot "do research". They cannot evaluate information or even cite correctly. It's a stochastic parrot we have anthropomorphized into a robot slave. It's wrong more often than it's right. That schools are trying to weld AI/LLMs into education should terrify you.