Kathleen A. Creel

Kathleen A. Creel

Stanford University

H-index: 7

North America-United States

About Kathleen A. Creel

Kathleen A. Creel, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at Stanford University, specializes in the field of philosophy, machine learning, ethics, philosophy of science.

His recent articles reflect a diverse array of research interests and contributions to the field:

Scarce Resource Allocations That Rely On Machine Learning Should Be Randomized

Ethical considerations for artificial intelligence in medical imaging: data collection, development, and evaluation

Ecosystem graphs: The social footprint of foundation models

Algorithmic Pluralism

Ecosystem-level Analysis of Deployed Machine Learning Reveals Homogeneous Outcomes

Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization?

Privacy and Paternalism: The Ethics of Student Data Collection

Ethical risks in the development and deployment of artificial intelligence systems in nuclear medicine

Kathleen A. Creel Information

University

Position

___

Citations(all)

2498

Citations(since 2020)

2495

Cited By

22

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Kathleen A. Creel Skills & Research Interests

philosophy

machine learning

ethics

philosophy of science

Top articles of Kathleen A. Creel

Scarce Resource Allocations That Rely On Machine Learning Should Be Randomized

ICML 2024

2024/4/12

Ethical considerations for artificial intelligence in medical imaging: data collection, development, and evaluation

Journal of Nuclear Medicine

2023/12/1

Ecosystem graphs: The social footprint of foundation models

arXiv preprint arXiv:2303.15772

2023/3/28

Algorithmic Pluralism

arXiv

2023

Ecosystem-level Analysis of Deployed Machine Learning Reveals Homogeneous Outcomes

Advances in Neural Information Processing Systems

2024/2/13

Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization?

Advances in Neural Information Processing Systems

2022/12/6

Privacy and Paternalism: The Ethics of Student Data Collection

Case Studies in Social and Ethical Responsibilities of Computing

2022/8/26

Ethical risks in the development and deployment of artificial intelligence systems in nuclear medicine

2022/6/1

Clinical decisions using AI must consider patient values

Nature medicine

2022/2

Artificial Knowing Otherwise

Feminist Philosophy Quarterly

2022

On the opportunities and risks of foundation models

arXiv preprint arXiv:2108.07258

2021/8/16

Rishi Bommasani
Rishi Bommasani

H-Index: 2

Ehsan Adeli
Ehsan Adeli

H-Index: 24

Simran Arora
Simran Arora

H-Index: 4

Jeannette Bohg
Jeannette Bohg

H-Index: 21

Antoine Bosselut
Antoine Bosselut

H-Index: 13

Emma Brunskill
Emma Brunskill

H-Index: 31

Erik Brynjolfsson
Erik Brynjolfsson

H-Index: 69

Shyamal Buch
Shyamal Buch

H-Index: 6

Dallas Card
Dallas Card

H-Index: 15

Rodrigo Castellon
Rodrigo Castellon

H-Index: 0

Chris Donahue
Chris Donahue

H-Index: 10

Stefano Ermon
Stefano Ermon

H-Index: 38

Kawin Ethayarajh
Kawin Ethayarajh

H-Index: 7

Li Fei-Fei
Li Fei-Fei

H-Index: 101

Chelsea Finn
Chelsea Finn

H-Index: 40

Trevor Gale
Trevor Gale

H-Index: 28

Karan Goel
Karan Goel

H-Index: 4

Tatsunori Hashimoto
Tatsunori Hashimoto

H-Index: 17

Peter Henderson
Peter Henderson

H-Index: 13

John Hewitt
John Hewitt

H-Index: 9

Kyle Hsu
Kyle Hsu

H-Index: 7

Jing Huang
Jing Huang

H-Index: 11

Thomas Icard
Thomas Icard

H-Index: 13

Saahil Jain
Saahil Jain

H-Index: 1

Dan Jurafsky
Dan Jurafsky

H-Index: 71

Pratyusha Kalluri
Pratyusha Kalluri

H-Index: 2

Siddharth Karamcheti
Siddharth Karamcheti

H-Index: 7

Geoff Keeling
Geoff Keeling

H-Index: 5

Fereshte Khani
Fereshte Khani

H-Index: 3

Omar Khattab
Omar Khattab

H-Index: 3

Pang Wei Koh
Pang Wei Koh

H-Index: 17

Ranjay Krishna
Ranjay Krishna

H-Index: 19

Rohith Kuditipudi
Rohith Kuditipudi

H-Index: 3

Ananya Kumar
Ananya Kumar

H-Index: 6

Faisal Ladhak
Faisal Ladhak

H-Index: 5

Mina Lee
Mina Lee

H-Index: 4

Jure Leskovec
Jure Leskovec

H-Index: 103

Xiang Lisa Li
Xiang Lisa Li

H-Index: 5

Xuechen Li
Xuechen Li

H-Index: 5

Tengyu Ma
Tengyu Ma

H-Index: 2

Ali Malik
Ali Malik

H-Index: 3

Christopher D Manning
Christopher D Manning

H-Index: 102

Suvir Mirchandani
Suvir Mirchandani

H-Index: 1

Suraj Nair
Suraj Nair

H-Index: 3

Deepak Narayanan
Deepak Narayanan

H-Index: 11

Allen Nie
Allen Nie

H-Index: 5

Juan Carlos Niebles
Juan Carlos Niebles

H-Index: 35

Hamed Nilforoshan
Hamed Nilforoshan

H-Index: 2

Julian Nyarko
Julian Nyarko

H-Index: 4

Laurel Orr
Laurel Orr

H-Index: 6

Isabel Papadimitriou
Isabel Papadimitriou

H-Index: 1

Joon Sung Park
Joon Sung Park

H-Index: 3

Chris Piech
Chris Piech

H-Index: 15

Christopher Potts
Christopher Potts

H-Index: 1

Aditi Raghunathan
Aditi Raghunathan

H-Index: 9

Rob Reich
Rob Reich

H-Index: 20

Yusuf Roohani
Yusuf Roohani

H-Index: 2

Camilo Ruiz
Camilo Ruiz

H-Index: 12

Jack Ryan
Jack Ryan

H-Index: 6

Christopher Ré
Christopher Ré

H-Index: 53

Dorsa Sadigh
Dorsa Sadigh

H-Index: 23

Shiori Sagawa
Shiori Sagawa

H-Index: 9

Keshav Santhanam
Keshav Santhanam

H-Index: 4

Andy Shih
Andy Shih

H-Index: 7

Krishnan Srinivasan
Krishnan Srinivasan

H-Index: 7

Alex Tamkin
Alex Tamkin

H-Index: 5

Rohan Taori
Rohan Taori

H-Index: 2

Florian Tramèr
Florian Tramèr

H-Index: 23

Rose E Wang
Rose E Wang

H-Index: 2

William Wang
William Wang

H-Index: 2

Jiajun Wu
Jiajun Wu

H-Index: 36

Sang Michael Xie
Sang Michael Xie

H-Index: 8

Michihiro Yasunaga
Michihiro Yasunaga

H-Index: 13

Jiaxuan You
Jiaxuan You

H-Index: 9

Michael Zhang
Michael Zhang

H-Index: 7

Tianyi Zhang
Tianyi Zhang

H-Index: 4

Xikun Zhang
Xikun Zhang

H-Index: 1

Yuhui Zhang
Yuhui Zhang

H-Index: 5

Lucia Zheng
Lucia Zheng

H-Index: 0

Kaitlyn Zhou
Kaitlyn Zhou

H-Index: 3

Percy Liang
Percy Liang

H-Index: 55

Function and User-Satisfaction in Explainable AI

Overcoming Opacity in Machine Learning

2021/4/8

The Algorithmic Leviathan: Arbitrariness, Fairness, and Opportunity in Algorithmic Decision-Making Systems

Canadian Journal of Philosophy

2021/2/15

Opening the Black Box: Explanation and Transparency in Machine Learning

2021/1/20

Transparency in complex computational systems

Philosophy of Science

2020/10

See List of Professors in Kathleen A. Creel University(Stanford University)

Co-Authors

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