activity
20242026
most citedThe Ethics of Advanced AI Assistants

51 citations · 88 across the 6 of their papers we have counts for

collaborators

7 papers

cs.AI2026

Tailored to you: longitudinal effects of personalising language models

Canfer Akbulut, Justine Breuch, Arianna Manzini +6

Interest in developing personalised language models is rapidly growing. While personalisation is often viewed as a mechanism to better serve diverse user needs, the effects of sust…

cs.AI2026

Evaluating Language Models for Harmful Manipulation

Canfer Akbulut, Rasmi Elasmar, Abhishek Roy +9

Interest in the concept of AI-driven harmful manipulation is growing, yet current approaches to evaluating it are limited. This paper introduces a framework for evaluating harmful…

cs.CL2025★ 8 cited

Multi-turn Evaluation of Anthropomorphic Behaviours in Large Language Models

Lujain Ibrahim, Canfer Akbulut, Rasmi Elasmar +7

The tendency of users to anthropomorphise large language models (LLMs) is of growing interest to AI developers, researchers, and policy-makers. Here, we present a novel method for…

cs.CY2024★ 20 cited

Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach

Irina Jurenka, Markus Kunesch, Kevin R. McKee +71

A major challenge facing the world is the provision of equitable and universal access to quality education. Recent advances in generative AI (gen AI) have created excitement about…

cs.AI2024

STAR: SocioTechnical Approach to Red Teaming Language Models

Laura Weidinger, John Mellor, Bernat Guillen Pegueroles +9

This research introduces STAR, a sociotechnical framework that improves on current best practices for red teaming safety of large language models. STAR makes two key contributions:…

cs.CY2024★ 51 cited

The Ethics of Advanced AI Assistants

Iason Gabriel, Arianna Manzini, Geoff Keeling +54

This paper focuses on the opportunities and the ethical and societal risks posed by advanced AI assistants. We define advanced AI assistants as artificial agents with natural langu…

cs.CY2024★ 9 cited

A Mechanism-Based Approach to Mitigating Harms from Persuasive Generative AI

Seliem El-Sayed, Canfer Akbulut, Amanda McCroskery +17

Recent generative AI systems have demonstrated more advanced persuasive capabilities and are increasingly permeating areas of life where they can influence decision-making. Generat…