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1808.07261
Cited By
FactSheets: Increasing Trust in AI Services through Supplier's Declarations of Conformity
22 August 2018
Matthew Arnold
Rachel K. E. Bellamy
Michael Hind
Stephanie Houde
S. Mehta
Aleksandra Mojsilović
R. Nair
Karthikeyan N. Ramamurthy
Darrell Reimer
Alexandra Olteanu
David Piorkowski
Jason Tsay
Kush R. Varshney
HILM
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Papers citing
"FactSheets: Increasing Trust in AI Services through Supplier's Declarations of Conformity"
24 / 24 papers shown
Title
Auditing and Generating Synthetic Data with Controllable Trust Trade-offs
Brian M. Belgodere
Pierre Dognin
Adam Ivankay
Igor Melnyk
Youssef Mroueh
...
Mattia Rigotti
Jerret Ross
Yair Schiff
Radhika Vedpathak
Richard A. Young
39
12
0
21 Apr 2023
DataPilot: Utilizing Quality and Usage Information for Subset Selection during Visual Data Preparation
Arpit Narechania
F. Du
Atanu R. Sinha
Ryan A. Rossi
Jane Hoffswell
Shunan Guo
E. Koh
S. Navathe
Alex Endert
30
9
0
02 Mar 2023
fAIlureNotes: Supporting Designers in Understanding the Limits of AI Models for Computer Vision Tasks
Steven Moore
Q. V. Liao
Hariharan Subramonyam
24
28
0
22 Feb 2023
Out of Context: Investigating the Bias and Fairness Concerns of "Artificial Intelligence as a Service"
Kornel Lewicki
M. S. Lee
Jennifer Cobbe
Jatinder Singh
41
21
0
02 Feb 2023
Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI
Upol Ehsan
Koustuv Saha
M. D. Choudhury
Mark O. Riedl
26
57
0
01 Feb 2023
Fiduciary Responsibility: Facilitating Public Trust in Automated Decision Making
Shannon B. Harper
Eric S. Weber
41
0
0
06 Jan 2023
Development and Validation of ML-DQA -- a Machine Learning Data Quality Assurance Framework for Healthcare
M. Sendak
Gaurav Sirdeshmukh
Timothy N. Ochoa
Hayley Premo
Linda Tang
...
M. Nichols
Bradley Heintze
William S Knechtle
W. Ratliff
S. Balu
29
6
0
04 Aug 2022
The "Collections as ML Data" Checklist for Machine Learning & Cultural Heritage
Benjamin Charles Germain Lee
VLM
18
7
0
06 Jul 2022
Explainable AI via Learning to Optimize
Howard Heaton
Samy Wu Fung
39
14
0
29 Apr 2022
Data Cards: Purposeful and Transparent Dataset Documentation for Responsible AI
Mahima Pushkarna
Andrew Zaldivar
Oddur Kjartansson
AI4TS
41
198
0
03 Apr 2022
Adaptive Sampling Strategies to Construct Equitable Training Datasets
William Cai
R. Encarnación
Bobbie Chern
S. Corbett-Davies
Miranda Bogen
Stevie Bergman
Sharad Goel
89
30
0
31 Jan 2022
Fairness Score and Process Standardization: Framework for Fairness Certification in Artificial Intelligence Systems
Avinash Agarwal
Harshna Agarwal
Nihaarika Agarwal
42
28
0
10 Jan 2022
We Need to Talk About Data: The Importance of Data Readiness in Natural Language Processing
Fredrik Olsson
Magnus Sahlgren
26
1
0
11 Oct 2021
Trustworthy AI: From Principles to Practices
Bo Li
Peng Qi
Bo Liu
Shuai Di
Jingen Liu
Jiquan Pei
Jinfeng Yi
Bowen Zhou
121
357
0
04 Oct 2021
Software Engineering for AI-Based Systems: A Survey
Silverio Martínez-Fernández
Justus Bogner
Xavier Franch
Marc Oriol
Julien Siebert
Adam Trendowicz
Anna Maria Vollmer
Stefan Wagner
27
211
0
05 May 2021
Facilitating Knowledge Sharing from Domain Experts to Data Scientists for Building NLP Models
Soya Park
A. Wang
B. Kawas
Q. V. Liao
David Piorkowski
Marina Danilevsky
72
55
0
29 Jan 2021
Workflow Provenance in the Lifecycle of Scientific Machine Learning
Renan Souza
L. Azevedo
Vítor Lourencco
E. Soares
R. Thiago
...
M. Moreno
P. Valduriez
M. Mattoso
Renato F. G. Cerqueira
M. Netto
AI4TS
AI4CE
29
31
0
30 Sep 2020
Automated Failure-Mode Clustering and Labeling for Informed Car-To-Driver Handover in Autonomous Vehicles
Aaquib Tabrez
Matthew B. Luebbers
Bradley Hayes
19
3
0
09 May 2020
ABOUT ML: Annotation and Benchmarking on Understanding and Transparency of Machine Learning Lifecycles
Inioluwa Deborah Raji
Jingyi Yang
24
37
0
12 Dec 2019
Component Mismatches Are a Critical Bottleneck to Fielding AI-Enabled Systems in the Public Sector
Grace A. Lewis
S. Bellomo
April Galyardt
21
6
0
14 Oct 2019
Physics Enhanced Artificial Intelligence
Patrick O'Driscoll
Jaehoon Lee
Bo Fu
21
3
0
11 Mar 2019
Bias Mitigation Post-processing for Individual and Group Fairness
P. Lohia
Karthikeyan N. Ramamurthy
M. Bhide
Diptikalyan Saha
Kush R. Varshney
Ruchir Puri
FaML
13
155
0
14 Dec 2018
Model Cards for Model Reporting
Margaret Mitchell
Simone Wu
Andrew Zaldivar
Parker Barnes
Lucy Vasserman
Ben Hutchinson
Elena Spitzer
Inioluwa Deborah Raji
Timnit Gebru
66
1,840
0
05 Oct 2018
Datasheets for Datasets
Timnit Gebru
Jamie Morgenstern
Briana Vecchione
Jennifer Wortman Vaughan
Hanna M. Wallach
Hal Daumé
Kate Crawford
135
2,130
0
23 Mar 2018
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