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Diachronic and synchronic variation in the performance of adaptive machine learning systems: The ethical challenges

Diachronic and synchronic variation in the performance of adaptive machine learning systems: The ethical challenges

11 April 2025
Joshua Hatherley
Robert Sparrow
ArXivPDFHTML

Papers citing "Diachronic and synchronic variation in the performance of adaptive machine learning systems: The ethical challenges"

4 / 4 papers shown
Title
Federated learning, ethics, and the double black box problem in medical AI
Federated learning, ethics, and the double black box problem in medical AI
Joshua Hatherley
Anders Søgaard
Angela Ballantyne
Ruben Pauwels
FedML
58
0
0
29 Apr 2025
A moving target in AI-assisted decision-making: Dataset shift, model updating, and the problem of update opacity
A moving target in AI-assisted decision-making: Dataset shift, model updating, and the problem of update opacity
Joshua Hatherley
AAML
24
1
0
07 Apr 2025
Are clinicians ethically obligated to disclose their use of medical machine learning systems to patients?
Are clinicians ethically obligated to disclose their use of medical machine learning systems to patients?
Joshua Hatherley
34
1
0
31 Mar 2025
The Future of Digital Health with Federated Learning
The Future of Digital Health with Federated Learning
Nicola Rieke
Jonny Hancox
Wenqi Li
Fausto Milletari
H. Roth
...
Ronald M. Summers
Andrew Trask
Daguang Xu
Maximilian Baust
M. Jorge Cardoso
OOD
174
1,707
0
18 Mar 2020
1