activity
20242026
most citedHow will advanced AI systems impact democracy?

3 citations · 10 across the 8 of their papers we have counts for

collaborators

10 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.CY2026

Artificial intelligence can persuade people to take political actions

Kobi Hackenburg, Luke Hewitt, Caroline Wagner +2

There is substantial concern about the ability of advanced artificial intelligence to influence people's behaviour. A rapidly growing body of research has found that AI can produce…

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.HC2025★ 1 cited

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…

cs.CL2025★ 2 cited

The Levers of Political Persuasion with Conversational AI

Kobi Hackenburg, Ben M. Tappin, Luke Hewitt +7

There are widespread fears that conversational AI could soon exert unprecedented influence over human beliefs. Here, in three large-scale experiments (N=76,977), we deployed 19 LLM…

cs.AI2025

Lessons from a Chimp: AI "Scheming" and the Quest for Ape Language

Christopher Summerfield, Lennart Luettgau, Magda Dubois +9

We examine recent research that asks whether current AI systems may be developing a capacity for "scheming" (covertly and strategically pursuing misaligned goals). We compare curre…

cs.CL2025

IssueBench: Millions of Realistic Prompts for Measuring Issue Bias in LLM Writing Assistance

Paul Röttger, Musashi Hinck, Valentin Hofmann +4

Large language models (LLMs) are helping millions of users write texts about diverse issues, and in doing so expose users to different ideas and perspectives. This creates concerns…

cs.CY2024★ 3 cited

How will advanced AI systems impact democracy?

Christopher Summerfield, Lisa Argyle, Michiel Bakker +20

Advanced AI systems capable of generating humanlike text and multimodal content are now widely available. In this paper, we discuss the impacts that generative artificial intellige…

cs.CY2024★ 1 cited

Large language models can consistently generate high-quality content for election disinformation operations

Angus R. Williams, Liam Burke-Moore, Ryan Sze-Yin Chan +7

Advances in large language models have raised concerns about their potential use in generating compelling election disinformation at scale. This study presents a two-part investiga…

cs.CL2024★ 3 cited

Evidence of a log scaling law for political persuasion with large language models

Kobi Hackenburg, Ben M. Tappin, Paul Röttger +3

Large language models can now generate political messages as persuasive as those written by humans, raising concerns about how far this persuasiveness may continue to increase with…