5 papers
Measuring and Mitigating Persona Distortions from AI Writing Assistance
Paul Röttger, Kobi Hackenburg, Hannah Rose Kirk +1
Hundreds of millions of people use artificial intelligence (AI) for writing assistance. Here, we evaluated how AI writing assistance distorts writer personas - their perceived beli…
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…
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…
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…
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…