collaborators

5 papers

cs.CY2026

AI systems out-persuade expert humans

Kobi Hackenburg, Caroline Wagner, Luke Hewitt +5

Many societal decisions are settled by contests of persuasion. Conversational AI is a powerful new entrant in these contests, but whether it can out-persuade skilled and highly inc…

cs.CL2026

RealityTest: How People Probe AI Identity and Whether Models Disclose It

Anna Gausen, Sarenne Wallbridge, Bessie O'Dell +2

AI systems are increasingly deployed in conversational settings where users may be uncertain whether they are speaking with a human or an AI. Despite mounting regulatory attention…

cs.CL2026

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…

cs.CL2026

How AI Writing Assistance Distorts Perceptions of AI Users and Their Opinions

Paul Röttger, Kobi Hackenburg, Hannah Rose Kirk +1

Hundreds of millions of people use AI for writing assistance. We asked how AI distorts perceptions of AI users and their opinions. Writers (N=2,939) wrote political opinion paragra…

cs.HC2026

Disclosure By Design: Identity Transparency as a Behavioural Property of Conversational AI Models

Anna Gausen, Sarenne Wallbridge, Hannah Rose Kirk +2

As conversational AI systems become more realistic and widely deployed, users are increasingly uncertain about whether they are interacting with a human or an AI system. When AI id…