most citedThe illusion of artificial inclusion

57 citations · 128 across the 5 of their papers we have counts for

collaborators

6 papers

cs.HC2026

Move Fast and Mend Things: Keeping Up with Evolving AI Harms Using Social Media Commentary

Jacqueline Rowe, Animesh Srivastava, Sai Teja Peddinti +2

The rapid deployment of AI systems has created socio-technical, psychological, and operational harms that can elude ex-ante threat modelling and ex-post incident tracking. We intro…

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.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…

cs.LG2024★ 11 cited

Evaluating Frontier Models for Dangerous Capabilities

Mary Phuong, Matthew Aitchison, Elliot Catt +24

To understand the risks posed by a new AI system, we must understand what it can and cannot do. Building on prior work, we introduce a programme of new "dangerous capability" evalu…

cs.CY2024★ 57 cited

The illusion of artificial inclusion

William Agnew, A. Stevie Bergman, Jennifer Chien +5

Human participants play a central role in the development of modern artificial intelligence (AI) technology, in psychological science, and in user research. Recent advances in gene…