Panel 23. Human-AI feedback Loops in Platformized Consumption – Session 1

Convenors
Massimo Airoldi, Università degli Studi di Milano
Alessandro Caliandro, Università di Pavia
Alessandro Gandini, Università degli Studi di Milano
Gabriella Punziano, Università di Napoli, Federico II

See Panels and Abstracts Details

ID 660 – Exploring Feedback Loops with the Lens of Autonomy
Minna Ruckenstein, Helsingin yliopisto

ID 461 – User Autonomy in Human-AI Feedback Loops: A Study of the Rednote Platform
Yiran Gao, University of Illinois at Urbana-Champaign

ID 534 – The sanitisation of data in AI-driven market research
Laura Bruschi, Università degli Studi di Milano Statale

ID 231 – The Scope of Algorithmic Fairness and What Lies Beyond: On the Sociotechnical Affordances of Recommender Systems
Bernhard Wieser, Technische Universität Graz

ID 675 – When feedback fails: broken loops in insurance and healthcare
Maiju Tanninen, KU Leuven

ID 577 – “Where Every Need Has Been Anticipated”: An Antidichotomic Account of Digital Habits and Algorithmic Prediction
Simone Bernardi Della Rosa, Università del Molise