activity
20192026
most citedEthical and social risks of harm from Language Models

71 citations · 291 across the 40 of their papers we have counts for

collaborators

44 papers

cs.CY2026

Agentic Economies for Autonomous Scientific Discovery

Nenad Tomasev, Matija Franklin, Atoosa Kasirzadeh +4

Recent advances in agentic Artificial Intelligence (AI) systems have marked a shift in AI for Science: moving away from the use of individual AI systems for narrow task execution,…

cs.DL2026

greCAPTCHA: Assessing Understanding as Evidence of Research Authorship Under Generative AI

Justin Payan, Bálint Gyevnár, Atoosa Kasirzadeh +1

Conferences, journals, funders, schools, and universities are struggling with a surge of potentially AI-generated submissions from ostensibly human authors, who may not have exerci…

econ.GN2026

AI in Science: Early Insights

Mihai Codreanu, Alex Imas, Juan Mateos-Garcia +15

Scientific progress is a key driver of economic growth and prosperity. There is great excitement - but also concerns - about the impacts of AI on science, but so far little data. W…

cs.AI2026

A Roadmap to Impactful Pluralistic Alignment Research

Elinor Poole-Dayan, Jillian Fisher, Atoosa Kasirzadeh +3

Pluralistic value alignment---the goal of building AI systems that represent and serve diverse human values and perspectives---has emerged as an active research agenda. Yet, there'…

cs.CR2026

Distributed Denial of Science: How Indirect Data Poisoning of AI Systems Can Industrialize Scientific Fraud

Bálint Gyevnár, Atoosa Kasirzadeh, Nihar B. Shah

Scientific fraud is the instrument of doubt that malicious entities can use to establish controversy in science. Historically, it required the resources of a company: deep pockets,…

cs.CY2026

The Case for Globally Beneficial Technology

Iason Gabriel, Atoosa Kasirzadeh

To whom do the fruits of advanced technological innovation belong? To their inventors, to the organizations and individuals involved in making such discoveries possible, or to stil…