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Joshua Hatherley

University of Copenhagen

7 papers hereh-index 8378 citations15 works total

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

author position
  • sole author3
  • first author2
  • last author2

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CY4
  • cs.HC2
  • cs.LG1
affiliations
  • University of Copenhagen
Homepage
same name
  • Joshua Hatherley — 5 papers, h 3

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

most citedLimits of trust in medical AI

228 citations · 360 across the 7 of their papers we have counts for

collaborators
Showing cs.CYShow all

4 papers · 1 filter

cs.CY2025★ 65 cited

High hopes for "Deep Medicine"? AI, economics, and the future of care

Robert Sparrow, Joshua Hatherley

In the much-celebrated book Deep Medicine, Eric Topol argues that the development of artificial intelligence for health care will lead to a dramatic shift in the culture and practi…

cs.CY2025★ 35 cited

The promise and perils of AI in medicine

Robert Sparrow, Joshua Hatherley

What does Artificial Intelligence (AI) have to contribute to health care? And what should we be looking out for if we are worried about its risks? In this paper we offer a survey,…

cs.CY2025★ 5 cited

A moving target in AI-assisted decision-making: Dataset shift, model updating, and the problem of update opacity

Joshua Hatherley

Machine learning (ML) systems are vulnerable to performance decline over time due to dataset shift. To address this problem, experts often suggest that ML systems should be regular…

cs.CY2025★ 8 cited

Are clinicians ethically obligated to disclose their use of medical machine learning systems to patients?

Joshua Hatherley

It is commonly accepted that clinicians are ethically obligated to disclose their use of medical machine learning systems to patients, and that failure to do so would amount to a m…

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