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Allan Dafoe

19 papers hereh-index 206.1k citations38 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author14
  • last author4

Across the 18 of 19 papers where every author was matched, so the position is known.

fields
  • cs.AI8
  • cs.CY5
  • cs.CR2
  • cs.LG2
  • cs.CV1
  • cs.MA1
same name
  • Allan Dafoe — 7 papers, h 9
  • Allan Dafoe — 3 papers, h 16
  • Allan Dafoe — 3 papers, h 3
  • Allan Dafoe — 2 papers, h 2
  • Allan Dafoe — 1 paper
  • Allan Dafoe — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182025
most citedThe Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation

495 citations · 958 across the 18 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024

VISTA: A Visual and Textual Attention Dataset for Interpreting Multimodal Models

Harshit, Tolga Tasdizen

The recent developments in deep learning led to the integration of natural language processing (NLP) with computer vision, resulting in powerful integrated Vision and Language Mode…

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.AI2024★ 3 cited

Holistic Safety and Responsibility Evaluations of Advanced AI Models

Laura Weidinger, Joslyn Barnhart, Jenny Brennan +16

Safety and responsibility evaluations of advanced AI models are a critical but developing field of research and practice. In the development of Google DeepMind's advanced AI models…

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.