Who's Who of AI

Anna Ciaunica PhD

136 trust researcher @annaciaunica.bsky.social · 11,046 followers
Responsible AI AI research Agents & robotics Culture, work & education
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Researcher with public evidence across Responsible AI, AI research, Agents & robotics.

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PI-Cognitive Scientist working on embodiment, self consciousness and social interactions in humans and artificial agents/ Responsible AI / Art & Science In Lisbon & London
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Articles & links

Can AI ever be conscious? The question stems from a misconception www.nature.com/articles/d41...

Can AI ever be conscious? The question stems from a misconception nature.com
AI Weekly's analysis →
  • A Nature review of Anthony Chemero's Intertwined Creatures argues the AI-consciousness question misreads what human minds actually are.
  • Chemero, a philosopher and cognitive scientist, casts thinking as bodily, environmental and social rather than a hidden inner computation.
  • Large language models, the review says, lack bodies to maintain and cannot care, undercutting many AI-consciousness arguments.
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View on Bluesky · ♥ 5 ↻ 2 ↩ 1 · 3 from the directory shared this · 13d ago

arxiv.org/abs/2607.13560

Grounded world models in biological organisms and future embodied AI arxiv.org
AI Weekly's analysis →
  • A group of computational neuroscientists led by Giovanni Pezzulo argues current AI leans on passive linguistic training rather than grounded environmental interaction.
  • The paper points to five neural circuit families including navigation, affordance perception, active exploration, allostatic control, and self-versus-external distinction.
  • The authors say embodied AI is missing intrinsic dynamics, action-centered learning, autonomous open-ended learning, and social grounding aligned with human norms.
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View on Bluesky · ♥ 7 ↻ 1 ↩ 0 · 3 from the directory shared this · 33d ago

arxiv.org/abs/2508.01491

The Homogenizing Effect of Large Language Models on Human Expression and Thought arxiv.org
AI Weekly's analysis →
  • A new arxiv synthesis argues that ubiquitous LLM use risks standardizing human language and reasoning across users and contexts.
  • The paper identifies two mechanisms: models mirror dominant patterns in their training data, and users converge on the same models across contexts.
  • Authors warn unchecked homogenization could flatten the cognitive landscapes that drive collective intelligence and adaptability.
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View on Bluesky · ♥ 22 ↻ 9 ↩ 0 · 2 from the directory shared this · 44d ago
↻ Anna Ciaunica PhD reposted
@niemanlab.org

Your inbox has probably seen an influx of pitches, increasingly written with AI. They’re likely bad, irrelevant, and annoyingly clogging up your email. But one publication is over it. If you want to write for The Food Section, you’ll have to pick up the phone. www.niemanlab.or…

niemanlab.org View on Bluesky →

Got interviewed by Expresso in Lisbon on philosophy and AI 👇🏼 expresso.pt/economia/eco... Thank you for having me 🙏

expresso.pt
View on Bluesky · ♥ 3 ↻ 0 ↩ 0 · 7d ago
Their own posts

Recent commentary

If you’re are #ICML2026 in South Korea don’t miss our spotlight paper on consciousness and AI ! 😎👇🏼 We introduce a new metaphysical framework and discuss whether machines can be conscious Teamwork with @erikjbekkers 🌟

View on Bluesky · ♥ 5 ↻ 2 ↩ 1 · 63d ago

Super happy to be a keynote speaker at the VI international colloquium on philosophy of neuroscience and AI in Rio 😎 Thank you for having me 😊🙏 I look forward to meet usual suspects and new faces !

View on Bluesky · ♥ 4 ↻ 0 ↩ 1 · 14d ago

Great talk by Andy Keller on space time symmetries in neural networks

View on Bluesky · ♥ 3 ↻ 0 ↩ 0 · 89d ago
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