Agree to disagree: the symmetry of burden of proof in human-AI collaboration

Karin Rolanda Jongsma; Martin Sand

doi:10.1136/medethics-2022-108242

Agree to disagree: the symmetry of burden of proof in human-AI collaboration

Karin Rolanda Jongsma, Martin Sand

Research output: Contribution to journal › Comment/Letter to the editor › Scientific › peer-review

2 Citations (SciVal)

270 Downloads (Pure)

Original language	English
Journal	Journal of medical ethics
Volume	48
Issue number	4
DOIs	https://doi.org/10.1136/medethics-2022-108242
Publication status	Published - 2022

Keywords

ethics committees
ethics- medical

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1136/medethics-2022-108242Licence: CC BY-NC

Agree to disagree-The symmetry of burden of proof in human-AI collaboration_preprintAccepted author manuscript, 583 KB

Cite this

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title = "Agree to disagree: the symmetry of burden of proof in human-AI collaboration",

keywords = "ethics committees, ethics- medical",

author = "Jongsma, {Karin Rolanda} and Martin Sand",

year = "2022",

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language = "English",

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journal = "Journal of medical ethics",

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T2 - the symmetry of burden of proof in human-AI collaboration

AU - Jongsma, Karin Rolanda

AU - Sand, Martin

PY - 2022

Y1 - 2022

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KW - ethics- medical

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U2 - 10.1136/medethics-2022-108242

DO - 10.1136/medethics-2022-108242

M3 - Comment/Letter to the editor

C2 - 35321904

AN - SCOPUS:85126845028

SN - 1473-4257

VL - 48

JO - Journal of medical ethics

JF - Journal of medical ethics

IS - 4

ER -

Agree to disagree: the symmetry of burden of proof in human-AI collaboration

Keywords

UN SDGs

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