assistant professor of computational cognitive science at @DondersInst and @AI_Radboud · she/they · cypriot/kıbrıslı/κυπραία · σὺν Ἀθηνᾷ καὶ χεῖρα κίνει
May 6 • 10 tweets • 3 min read
Does anyone have any links to critical work on using LLMs to code? Showing how garbage it is but still it's being used or how it plagiarise but users don't know? Or are we/coders actually not even falling for the hype? I hear from outside academia some are using it, sadly. 🫣
OK @symboliev shared some very useful pieces/papers:
AI Prompt Engineering Isn’t the Future
by Oguz A. Acar
Four themes of my research/papers that come up often; a thread of threads in no particular order:
➮ AI-driven dehumanisation 🤖🙅🏻♀️
➮ reclaiming AI as a (cognitive) science 🔎💭
➮ metatheorising in (the special) science(s) 🔬🧠
➮ teaching programming inclusively 👩🏻💻👩🏾💻
➮ our preprint (@spookkachu, @kleinherenbrink) is relevant to feminised people and their relationship to the ideology of AI; dehumanisation by AI seems to follow previously underdiscussed gendered patterns, and this has been the case from AI's inception:
Super proud/excited to share our [@spookkachu @kleinherenbrink] paper "Pygmalion Displacement: When Humanising AI Dehumanises Women" wherein we develop a lens to help us trace a type of harm towards women within/by AI as a field & as a technology:
We first build our "Pygmalion lens" through examining literature, film, and other media (see the figure above, Figure 2 in
); and then apply the lens (also above, Table 1) to current types of technologies like voice assistants to demonstrate its use. 2/4 osf.io/preprints/soca…
Jun 27, 2019 • 9 tweets • 4 min read
I'm gonna do a small thread on: Why did I coin #bropenscience?
The shortest answer to the question is: because it’s amusing and seems to upset exactly the right people, while also drawing attention to behaviours and ideas that harm #openscience and its adoption in deep ways.
The bro-iest, wannabe macho-est (given context of course — we’re talking about scientists, so macho/bro-ism will manifest in very specific ways) people seem to get upset.