activity
20222025
most citedThe Ethics of Advanced AI Assistants

51 citations · 113 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2025

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications

Yana Hasson, Pauline Luc, Liliane Momeni +10

In recent years, there has been a proliferation of spatiotemporal foundation models in different scientific disciplines. While promising, these models are often domain-specific and…

cs.CV2024★ 30 cited

Advancing Multimodal Medical Capabilities of Gemini

Lin Yang, Shawn Xu, Andrew Sellergren +44

Many clinical tasks require an understanding of specialized data, such as medical images and genomics, which is not typically found in general-purpose large multimodal models. Buil…

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…

eess.IV2023★ 2 cited

Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generation

Ryutaro Tanno, David G. T. Barrett, Andrew Sellergren +23

Radiology reports are an instrumental part of modern medicine, informing key clinical decisions such as diagnosis and treatment. The worldwide shortage of radiologists, however, re…

cs.CL2023★ 28 cited

Towards Generalist Biomedical AI

Tao Tu, Shekoofeh Azizi, Danny Driess +29

Medicine is inherently multimodal, with rich data modalities spanning text, imaging, genomics, and more. Generalist biomedical artificial intelligence (AI) systems that flexibly en…

cs.LG2022★ 2 cited

Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task

Jannik Kossen, Cătălina Cangea, Eszter Vértes +5

We introduce a challenging decision-making task that we call active acquisition for multimodal temporal data (A2MT). In many real-world scenarios, input features are not readily av…