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Julia Haas

4 papers hereh-index 92.7k citations19 works total

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

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI2
  • cs.CL1
  • cs.MA1
same name
  • Julia Haas — 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
20212024
most citedEthical and social risks of harm from Language Models

71 citations · 76 across the 4 of their papers we have counts for

collaborators

4 papers

cs.AI2024★ 1 cited

A theory of appropriateness with applications to generative artificial intelligence

Joel Z. Leibo, Alexander Sasha Vezhnevets, Manfred Diaz +11

What is appropriateness? Humans navigate a multi-scale mosaic of interlocking notions of what is appropriate for different situations. We act one way with our friends, another with…

cs.AI2023★ 1 cited

Doing the right thing for the right reason: Evaluating artificial moral cognition by probing cost insensitivity

Yiran Mao, Madeline G. Reinecke, Markus Kunesch +4

Is it possible to evaluate the moral cognition of complex artificial agents? In this work, we take a look at one aspect of morality: `doing the right thing for the right reasons.'…

cs.MA2022★ 3 cited

Melting Pot 2.0

John P. Agapiou, Alexander Sasha Vezhnevets, Edgar A. Duéñez-Guzmán +14

Multi-agent artificial intelligence research promises a path to develop intelligent technologies that are more human-like and more human-compatible than those produced by "solipsis…

cs.CL2021★ 71 cited

Ethical and social risks of harm from Language Models

Laura Weidinger, John Mellor, Maribeth Rauh +20

This paper aims to help structure the risk landscape associated with large-scale Language Models (LMs). In order to foster advances in responsible innovation, an in-depth understan…

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