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Luca Maria Aiello (lajello.bsky.social)

@lajello

Professor of Data Science @ITUkbh Copenhagen, member of @nerdsitu & @AiCentreDK. Before: @BellLabs, @YahooResearch, @IUBloomington, @ISI_Fondazione fellow.
Copenhagen, Denmark lajello.com Joined March 2011
1.3K Following 3K Followers 1.5K Posts

Latest posts 5

Luca Maria Aiello (lajello.bsky.social) @lajello
New tool to estimate the level of participation in collective action expressed in natural language.
Applied to social media, it can produce large-scale and granular estimates of behavior change wrt collective action.
Check it out: github.com/ariannap13/ext…
@Carlsbergfondet @ITUkbh
github.com GitHub - ariannap13/extract_collective_action Contribute to ariannap13/extract_collective_action development by creating an account on GitHub.
Arianna Pera @arianna_pera1 Jan 15, 2025
Excited to share the tool @lajello & I built to predict social media participation in collective action! It moves beyond keywords, tracking activism stages across topics. See it in action with climate activism on Reddit 🌱

Check it out: arxiv.org/abs/2501.07368
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Luca Maria Aiello (lajello.bsky.social) @lajello
Our Prisoner's Dilemma work got accepted to @icwsm!
Looking forward to next year's edition in Copenhagen.
@frapi9
Luca Maria Aiello (lajello.bsky.social) @lajello Jun 21, 2024
Testing LLMs in Game Theory experiments reveals their moral biases as social agents -- useful to inform alignment. Llama2 playing Prisoner's Dilemma is more forgiving and non-retaliatory than humans, but only when the opponent defects rarely. New preprint: arxiv.org/abs/2406.13605
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Luca Maria Aiello (lajello.bsky.social) @lajello
Seemingly unbiased LLMs exhibit "collective biases" when interacting with other agents. We ought to look at AI biases *within application contexts*, not simply by probing models in isolation.
Great collab. with @RELflintashery and @a_baronca
@nerdsitu @ITUkbh @Carlsbergfondet
Andrea Baronchelli @a_baronca Oct 14, 2024
We explore how Large Language Models (LLMs) autonomously develop social conventions through interaction, without external programming or centralized coordination. 2/7
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