Evidence map›Paper›PMID 40953011›Full record

ArticlePloS one2025

"You're opening Pandora's Box": Public attitudes on AI and robotics in Australian agriculture.

Angie Sassano, Robert Sparrow, Christopher Mayes, Cheryl Travers, Megan Moss, Chris Degeling

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Angie SassanoDepartment of Philosophy, Monash University, Melbourne, Australia.ORCID https://orcid.org/0000-0002-4153-4856
Robert SparrowDepartment of Philosophy, Monash University, Melbourne, Australia.
Christopher MayesSchool of Philosophy, Deakin University, Waurn Ponds, Australia.
Cheryl TraversAustralian Centre for Health, Engagement, Evidence and Values (ACHEEV), University of Wollongong, Wollongong, Australia.
Megan MossDepartment of Philosophy, Monash University, Melbourne, Australia.ORCID https://orcid.org/0000-0003-1636-8144
Chris DegelingAustralian Centre for Health, Engagement, Evidence and Values (ACHEEV), University of Wollongong, Wollongong, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of artificial intelligence (AI) and robotics is widely expected to revolutionise agriculture. Although an emerging literature is bringing into conversation AI and agricultural ethics, there has been little attention paid to public attitudes regarding such technological change. Using data collected in 12 dialogue groups conducted across rural and metropolitan Australia, this paper examines public perceptions of the social and ethical impacts of AI and robotics in agriculture. We identify and map a diversity of views regarding the possible risks and benefits of AI and robotics, and the value of agriculture in the context of a future of 'farmerless farming.' Our results add depth and nuance to the existing, mostly quantitative, literature on public attitudes towards agricultural robotics and AI and constitute a valuable resource for policymakers, or other stakeholders who want to engage with public opinion regarding these technologies.

Indexed as

AgricultureArtificial IntelligenceAttitudePublic OpinionRoboticsAdultAustraliaFemaleHumansMaleMiddle Aged

Identifiers

PMID40953011
PMCPMC12435636

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.