activity
20202024
most citedModel evaluation for extreme risks

59 citations · 214 across the 11 of their papers we have counts for

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Showing cs.CYShow all

5 papers · 1 filter

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★ 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.CY2024

(Unfair) Norms in Fairness Research: A Meta-Analysis

Jennifer Chien, A. Stevie Bergman, Kevin R. McKee +5

Algorithmic fairness has emerged as a critical concern in artificial intelligence (AI) research. However, the development of fair AI systems is not an objective process. Fairness i…

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…