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In which I ask a few questions that social scientists wishing to identify hidden classes in their data ought to address.
janhove.github.io/posts/2026-0...
Check out the spotlight on our research exploring interventions to address discrimination: fabbs.org/news/2026/09...
Check out the spotlight on our research exploring interventions to address discrimination: fabbs.org/news/2026/09...
Having joined the CTN+ in 2025 as the first Jacquie Sas Postdoctoral Fellow, she's using her role to take a deep dive into the knowledge and practices around HIV #PrEP among Nigerian Youth in Nigeria and Canada.
Read more: https://bit.ly/4rfMTMl
Having joined the CTN+ in 2025 as the first Jacquie Sas Postdoctoral Fellow, she's using her role to take a deep dive into the knowledge and practices around HIV #PrEP among Nigerian Youth in Nigeria and Canada.
Read more: https://bit.ly/4rfMTMl
The series follows 30 participants who enter a real prison and are randomly assigned as guards or prisoners. They must see if they conform to the roles or if morality wins.
🔸A 1-paragraph AI literacy treatment (explaining AIs can be told to pursue non-accuracy goals/to persuade) cuts AI dialogue political persuasion by ~half!
🔸No sig effect on general genAI trust
arxiv.org/abs/2609.16432
w/ @rorchinik.bsky.social
🔸A 1-paragraph AI literacy treatment (explaining AIs can be told to pursue non-accuracy goals/to persuade) cuts AI dialogue political persuasion by ~half!
🔸No sig effect on general genAI trust
arxiv.org/abs/2609.16432
w/ @rorchinik.bsky.social
The book contains 58 references to scientific articles and books. At least 6 are completely hallucinated. Several other are articles irrelevant to the claim.
This is ironic given the author's public statements regarding AI and its misuse.