| site | https://hugocristo.com.br |
| research lab | http://forma.ufes.br |
| ufes | https://ufes.br |
| books | https://instagram.com/bibliofiloaprendiz |
Seven authors outline factors that influence scientific advancements in Latin America and identify potential avenues for reframing research conducted in the region, especially by Latin American researchers, in the global scientific landscape.
Delighted to say my paper with @andrea is now improved, polished, and published!
Guest, O., & Martin, A. E. (2023). On Logical Inference over Brains, Behaviour, and Artificial Neural Networks. Computational Brain & Behavior. https://doi.org/10.1007/s42113-022-00166-x
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In the cognitive, computational, and neuro-sciences, practitioners often reason about what computational models represent or learn, as well as what algorithm is instantiated. The putative goal of such reasoning is to generalize claims about the model in question, to claims about the mind and brain, and the neurocognitive capacities of those systems. Such inference is often based on a model’s performance on a task, and whether that performance approximates human behavior or brain activity. Here we demonstrate how such argumentation problematizes the relationship between models and their targets; we place emphasis on artificial neural networks (ANNs), though any theory-brain relationship that falls into the same schema of reasoning is at risk. In this paper, we model inferences from ANNs to brains and back within a formal framework — metatheoretical calculus — in order to initiate a dialogue on both how models are broadly understood and used, and on how to best formally characterize them and their functions. To these ends, we express claims from the published record about models’ successes and failures in first-order logic. Our proposed formalization describes the decision-making processes enacted by scientists to adjudicate over theories. We demonstrate that formalizing the argumentation in the literature can uncover potential deep issues about how theory is related to phenomena. We discuss what this means broadly for research in cognitive science, neuroscience, and psychology; what it means for models when they lose the ability to mediate between theory and data in a meaningful way; and what this means for the metatheoretical calculus our fields deploy when performing high-level scientific inference.
Super proud/excited to share our 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: https://osf.io/preprints/socarxiv/jqxb6
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The new track from @ferristootsnow, myself and Alex Odden is out today! And it's #BandcampFriday so why not pick it up from there? https://sophonkicksnare.bandcamp.com/album/segfault
It's also everywhere on streaming services of course, but y'know, that doesn't really help artists or small independent labels much. :)
2 track album
New on my blog: Exploring some recent proposals for detecting text generated by large language models.
https://aiguide.substack.com/p/on-detecting-whether-text-was-generated
Machines are now able to generate text that is hard to distinguish from that generated by humans. This gives rise to many potential problems; for example, enabling efficient automation of misinformation, spam, impersonation, student cheating on writing and coding homework, and so on. How can society deal with the upcoming deluge of machine-generated text? This is an urgent problem, but fortunately there is a lot of promising research in the works aimed at enabling people to detect when a text has been generated by a machine.
Detailed report of the Yanomami humanitarian crisis in Brazil for non-Portuguese speakers (En/Es):
Coming next: PCT Conversations
https://www.iapct.org/social/pct-conversations/
Thursday 2nd and 16th 1pm UK Time / 10am Brasília / Buenos Aires
Click here to Join the ZOOM meeting General information: Join in to share your questions, ideas, research and experiences with PCT. This can include a broad range of topics related to the various aspects and themes. Colleagues from different backgrounds and levels of expertise are most welcome to discuss a wide variety of aspects related
This is beautiful: Atari 2600 hardware design
From the same journal: "A Computer Course for the Behavioral Scientist" (Baker, 1961)
Source: https://journals.sagepub.com/doi/abs/10.1177/001316446202200324
Olivia Guest · Ολίβια Γκεστ
Bent Stamnes
Melanie Mitchell
Iris van Rooij 💭