Ismael T. Freire

@ishmajl.bsky.social

Postdoc in NeuroAI at @sorbonne-universite.fr. Scholar at @bcom-foundation.bsky.social. Studying cognition and collaboration in humans and machines. Cybernetics, ALife, self-organization, complexity, ecology, cultural evolution.

Very happy to finally share this preprint after a looong time in the making! :) “Anthropomorphism in the age of Large Language Models” Why do we so readily understand AI systems in human-like terms? And when does this become problematic? 👇 1/10

Conceptual taxonomy of concerns associated with anthropomorphic framing of AI systems. Twenty-one concerns are grouped by their primary locus into five overlapping dimensions: societal and institutional, human agency, normative, epistemic, and affective. The categories are analytic rather than mutually exclusive, and equal-width tiles do not represent prevalence, severity, causal strength, or effect size.

“Air pollution fell substantially as Paris restricted car traffic and made way for parks, people-streets and bike-lanes.” Better for the climate, better for health, better for livability and quality of life. Common sense. Such a no-brainer, it’s remarkable that more cities HAVEN’T done the same.

Paris said au revoir to cars. Air pollution maps reveal a dramatic change.

Air pollution fell substantially as the city restricted car traffic and made way for parks and bike lanes.

washingtonpost.com

Does ingroup love lead to outgroup hate? I often tell people that identifying with ingroups does not always lead to outgroup discrimination. I call this the "Myth of tribalism". A new paper provides strong and robust evidence for a positive relationship between ingroup and outgroup prosociality.!

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Ah well The work I wanted to bring along is this paper👇 It sets out a new self-regulatory formulation of balancing (gravity) - inspired by animal development - that would enable this form of 'motivation' for balancing in robots bsky.app/profile/nmwi...

Dr Nick@nmwilkinson.eurosky.social · 10mo ago

New paper out on @openmindjournal.bsky.social * I propose balance is a core biophysical self-regulatory function, organisationally akin to thermo-regulation. Might seem radical off the bat, but by the end of the paper I hope you'll agree it seems pretty obvious. doi.org/10.1162/OPMI...

Good news if this workshop sounds like your kind of thing: we’ve extended the deadline to Sept 14 (AoE)! 🌱 At #SAB2026, “Wanting What Is Needed” asks how homeostasis shape value, motivation & adaptive behaviour. Come join us in Berlin on Oct 19!! 😊 wwin-workshop.github.io/sab2026/

Wanting What is Needed: From Homeostatic Control to Adaptive Behavior

A SAB 2026 workshop bringing together AI, robotics, neuroscience, physiology, ethology, biology and control theory around homeostasis, allostasis and adaptive behavior.

wwin-workshop.github.io

Academics: What's a journal in your field that's great? I feel like they are a dwindling breed. Criteria: (1) No APC. Supports green or diamond OA. (2) High-quality and relatively fast peer review. (3) Editors who provide real curational value and exercise purposeful agency in the decision process.

Adaptive behaviour starts with having something at stake. At #SAB2026, our workshop “Wanting What Is Needed” asks how homeostasis turns internal needs into value, motivation and action. 🗓️ Join us in Berlin on October 19! 📝 Abstracts due 5 Aug wwin-workshop.github.io/sab2026/

Why do social norms work differently when we interact with AI? In a new paper (N = 1,108), we found that people are less sensitive to prosocial norms when interacting with AI because they are less accurate at predicting AI behavior. Read the full working paper: osf.io/8fhwg/

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The uncritical adoption of AI in science is alarming — we urgently need guard rails. Two years ago, @lmesseri.bsky.social & I made some predictions about how AI would impact scientific research. Here we take stock of what we got right and what we missed. 2/4

The uncritical adoption of AI in science is alarming — we urgently need guard rails

Artificial intelligence is rapidly accelerating scientific output, but risks narrowing inquiry, weakening judgement and undermining how scientists are trained.

nature.com

✨New paper out @nature.com ✨ For 8 weeks around the 2024 US election, we randomly assigned 2,000 people to use social media algos we built ourselves. Do engagement-based algorithms amplify intergroup, moral & emotional (IME) content—and does that distort how we see political norms? 🧵🔗 👇

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