Human-AI Coevolution

Luca Pappalardo

CRIS Seminar, Friday Febuary 7th, 2025

CRIS Scientific Seminar 2024-2025

Friday, February 7th 2025, 11:30 am
Sciences Po, Room K008 (1, St-Thomas)

Istituto di Scienza e Tecnologie dell’Informazione,
National Research Council of Italy (ISTI-CNR)
Knowledge Discovery and Data Mining Laboratory (KDD Lab)

Please register here to join us

Human-AI coevolution, the process in which humans and AI algorithms continuously influence each other, increasingly characterises our society but is understudied in artificial intelligence and complexity science literature.

Recommender systems and assistants play a prominent role in human-AI coevolution, permeating many facets of daily life and influencing human choices through online platforms.

The interaction between users and AI results in a potentially endless feedback loop, wherein users' choices generate data to train AI models, which, in turn, shape subsequent user preferences.

This human-AI feedback loop has peculiar characteristics compared to traditional human-machine interaction, giving rise to complex and often “unintended” systemic outcomes.

This talk will discuss relevant studies on the impact of AI-driven recommendations on human behaviour in social media, geographic mapping, online retail and chatbot ecosystems. Moreover, the talk will discuss the human-AI feedback loop and the challenges of measuring and modelling it.

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