Paul Allen 🌐🇨🇦
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paulallen.ca
Paul Allen 🌐🇨🇦
@paulallen.ca
1.5K followers 1.9K following 1.6K posts
Clinical director of intensive mental health services for children and youth in Canada (ret.). Believer in Truth and Reconciliation. Denier of Denialism. Student of semantics and statistics. "AI" too.
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Reposted by Paul Allen 🌐🇨🇦
drjenndowd.bsky.social
Yes, @rebeccasear.bsky.social has a great piece on this www.tandfonline.com/doi/full/10....
Demography and the rise, apparent fall, and resurgence of eugenics
Demography was heavily involved in the eugenics movement of the early twentieth century but, along with most other social science disciplines, largely rejected eugenic thinking in the decades after...
www.tandfonline.com
December 4, 2025 at 5:12 PM
paulallen.ca
You can say this is the playbook for everything - health care education - the rich will be treated, taught etc by capable humans while the poor receive AI assistance under the heading "it's that one nothing"
December 3, 2025 at 6:01 PM
Reposted by Paul Allen 🌐🇨🇦
tehabbygal99.bsky.social
www.cbc.ca/news/canada/...
How are still not being genocided? Y’all treat us like lab rats to this day! And want to hide it all behind racist fears and projections. Land back will happen! #Landback
Mohawk Mothers worry potential evidence at McGill University work site will be destroyed | CBC News
A spokeswoman for the group says workers could destroy evidence, but McGill says agreement is being honoured.
www.cbc.ca
December 2, 2025 at 2:32 AM
Reposted by Paul Allen 🌐🇨🇦
doriantaylor.com
there was this which has a handy-dandy venn diagram: bsky.app/profile/oliv...
olivia.science Olivia Guest · Ολίβια Γκεστ @olivia.science · Sep 6
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
December 2, 2025 at 2:14 AM