18 citations · 18 across the 4 of their papers we have counts for
3 papers · 1 filter
Political Sorting Can Drive AI Models Apart Through User Feedback
Petter Törnberg, Michael Heseltine, Nicolò Pagan +3
Large language models are rapidly becoming an important source of political information. This raises a fundamental question: will AI systems support a shared basis for political kn…
Aïra: Rethinking AI Research Assistants for Interdisciplinary Science
Diya Mirji, Tiffany Degbotse, Sharmil Nanjappa +9
Scientific discovery increasingly depends on interdisciplinary teams whose members contribute distinct expertise, conceptual frameworks, vocabularies, assumptions, and standards of…
Polarization by Default: Auditing Recommendation Bias in LLM-Based Content Curation
Nicolò Pagan, Christopher Barrie, Chris Andrew Bail +1
Large Language Models (LLMs) are increasingly deployed to curate and rank human-created content, yet the nature and structure of their biases in these tasks remains poorly understo…