1 citations · 1 across the 2 of their papers we have counts for
5 papers
Conversational AI increases political knowledge as effectively as self-directed internet search
Lennart Luettgau, Hannah Rose Kirk, Kobi Hackenburg +6
Conversational AI systems are increasingly being used in place of traditional search engines to help users complete information-seeking tasks. This has raised concerns in the polit…
PRISM-X: Experiments on Personalised Fine-Tuning with Human and Simulated Users
Hannah Rose Kirk, Liu Leqi, Fanzhi Zeng +4
Personalisation is a standard feature of conversational AI systems used by millions; yet, the efficacy of personalisation methods is often evaluated in academic research using simu…
People readily follow personal advice from AI but it does not improve their well-being
Lennart Luettgau, Vanessa Cheung, Magda Dubois +8
People increasingly seek personal advice from large language models (LLMs), yet whether humans follow their advice, and its consequences for their well-being, remains unknown. In a…
When Do LLM Preferences Predict Downstream Behavior?
Katarina Slama, Alexandra Souly, Dishank Bansal +3
Preference-driven behavior in LLMs may be a necessary precondition for AI misalignment such as sandbagging: models cannot strategically pursue misaligned goals unless their behavio…
Neural steering vectors reveal dose and exposure-dependent impacts of human-AI relationships
Hannah Rose Kirk, Henry Davidson, Ed Saunders +4
Humans are increasingly forming parasocial relationships with AI systems, and modern AI shows an increasing tendency to display social and relationship-seeking behaviour. However,…