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Ethical Machine Learning in Health Care

Ethical Machine Learning in Health Care

22 September 2020
Irene Y. Chen
Emma Pierson
Sherri Rose
Shalmali Joshi
Kadija Ferryman
Marzyeh Ghassemi
    AILaw
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Papers citing "Ethical Machine Learning in Health Care"

25 / 25 papers shown
Title
FoMoH: A clinically meaningful foundation model evaluation for structured electronic health records
FoMoH: A clinically meaningful foundation model evaluation for structured electronic health records
Chao Pang
Vincent Jeanselme
Young Sang Choi
Xinzhuo Jiang
Zilin Jing
...
Yuta Kobayashi
Yanwei Li
Florent Pollet
Karthik Natarajan
Shalmali Joshi
197
0
0
22 May 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
59
1
0
31 Mar 2025
A Comprehensive Evaluation of Multi-task Learning and Multi-task
  Pre-training on EHR Time-series Data
A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series Data
Matthew B. A. McDermott
Bret A. Nestor
Evan Kim
Wancong Zhang
Anna Goldenberg
Peter Szolovits
Marzyeh Ghassemi Csail
AI4TS
52
16
0
20 Jul 2020
Concept Bottleneck Models
Concept Bottleneck Models
Pang Wei Koh
Thao Nguyen
Y. S. Tang
Stephen Mussmann
Emma Pierson
Been Kim
Percy Liang
94
821
0
09 Jul 2020
Decolonial AI: Decolonial Theory as Sociotechnical Foresight in
  Artificial Intelligence
Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence
Shakir Mohamed
Marie-Therese Png
William S. Isaac
82
406
0
08 Jul 2020
An Investigation of Why Overparameterization Exacerbates Spurious
  Correlations
An Investigation of Why Overparameterization Exacerbates Spurious Correlations
Shiori Sagawa
Aditi Raghunathan
Pang Wei Koh
Percy Liang
182
379
0
09 May 2020
Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings
Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings
H. Zhang
Amy X. Lu
Mohamed Abdalla
Matthew B. A. McDermott
Marzyeh Ghassemi
55
174
0
11 Mar 2020
CheXclusion: Fairness gaps in deep chest X-ray classifiers
CheXclusion: Fairness gaps in deep chest X-ray classifiers
Laleh Seyyed-Kalantari
Guanxiong Liu
Matthew B. A. McDermott
Irene Y. Chen
Marzyeh Ghassemi
OOD
83
291
0
14 Feb 2020
Distributionally Robust Neural Networks for Group Shifts: On the
  Importance of Regularization for Worst-Case Generalization
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization
Shiori Sagawa
Pang Wei Koh
Tatsunori B. Hashimoto
Percy Liang
OOD
91
1,237
0
20 Nov 2019
Causal bootstrapping
Causal bootstrapping
Max A. Little
Reham Badawy
CML
27
20
0
21 Oct 2019
Hidden Stratification Causes Clinically Meaningful Failures in Machine
  Learning for Medical Imaging
Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging
Luke Oakden-Rayner
Jared A. Dunnmon
G. Carneiro
Christopher Ré
OOD
67
380
0
27 Sep 2019
Causal Modeling for Fairness in Dynamical Systems
Causal Modeling for Fairness in Dynamical Systems
Elliot Creager
David Madras
T. Pitassi
R. Zemel
55
67
0
18 Sep 2019
The Diversity-Innovation Paradox in Science
The Diversity-Innovation Paradox in Science
Bas Hofstra
V. V. Kulkarni
Sebastian Munoz-Najar Galvez
Bryan He
Dan Jurafsky
Daniel A. McFarland
64
675
0
04 Sep 2019
Feature Robustness in Non-stationary Health Records: Caveats to
  Deployable Model Performance in Common Clinical Machine Learning Tasks
Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks
Bret A. Nestor
Matthew B. A. McDermott
Willie Boag
G. Berner
Tristan Naumann
Michael C. Hughes
Anna Goldenberg
Marzyeh Ghassemi
OOD
64
110
0
02 Aug 2019
Exploring large scale public medical image datasets
Exploring large scale public medical image datasets
Luke Oakden-Rayner
55
174
0
30 Jul 2019
(De)Constructing Bias on Skin Lesion Datasets
(De)Constructing Bias on Skin Lesion Datasets
Alceu Bissoto
Michel Fornaciali
Eduardo Valle
Sandra Avila
50
71
0
18 Apr 2019
Fair Regression for Health Care Spending
Fair Regression for Health Care Spending
A. Zink
Sherri Rose
65
50
0
28 Jan 2019
Failing Loudly: An Empirical Study of Methods for Detecting Dataset
  Shift
Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift
Stephan Rabanser
Stephan Günnemann
Zachary Chase Lipton
54
366
0
29 Oct 2018
Model Cards for Model Reporting
Model Cards for Model Reporting
Margaret Mitchell
Simone Wu
Andrew Zaldivar
Parker Barnes
Lucy Vasserman
Ben Hutchinson
Elena Spitzer
Inioluwa Deborah Raji
Timnit Gebru
123
1,891
0
05 Oct 2018
Confounding variables can degrade generalization performance of
  radiological deep learning models
Confounding variables can degrade generalization performance of radiological deep learning models
J. Zech
Marcus A. Badgeley
Manway Liu
A. Costa
J. Titano
Eric K. Oermann
OOD
83
1,175
0
02 Jul 2018
xGEMs: Generating Examplars to Explain Black-Box Models
xGEMs: Generating Examplars to Explain Black-Box Models
Shalmali Joshi
Oluwasanmi Koyejo
Been Kim
Joydeep Ghosh
MLAU
49
40
0
22 Jun 2018
Using Search Queries to Understand Health Information Needs in Africa
Using Search Queries to Understand Health Information Needs in Africa
Rediet Abebe
Shawndra Hill
Jennifer Wortman Vaughan
P. Small
H. Andrew Schwartz
28
34
0
14 Jun 2018
A Review of Challenges and Opportunities in Machine Learning for Health
A Review of Challenges and Opportunities in Machine Learning for Health
Marzyeh Ghassemi
Tristan Naumann
Peter F. Schulam
Andrew L. Beam
Irene Y. Chen
Rajesh Ranganath
59
267
0
01 Jun 2018
Why Is My Classifier Discriminatory?
Why Is My Classifier Discriminatory?
Irene Y. Chen
Fredrik D. Johansson
David Sontag
FaML
68
396
0
30 May 2018
Datasheets for Datasets
Datasheets for Datasets
Timnit Gebru
Jamie Morgenstern
Briana Vecchione
Jennifer Wortman Vaughan
Hanna M. Wallach
Hal Daumé
Kate Crawford
258
2,178
0
23 Mar 2018
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