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Software Engineering for Responsible AI: An Empirical Study and
  Operationalised Patterns

Software Engineering for Responsible AI: An Empirical Study and Operationalised Patterns

18 November 2021
Qinghua Lu
Liming Zhu
Xiwei Xu
Jon Whittle
David M. Douglas
Conrad Sanderson
ArXivPDFHTML

Papers citing "Software Engineering for Responsible AI: An Empirical Study and Operationalised Patterns"

4 / 4 papers shown
Title
Design Patterns for AI-based Systems: A Multivocal Literature Review and
  Pattern Repository
Design Patterns for AI-based Systems: A Multivocal Literature Review and Pattern Repository
Lukas Heiland
Marius Hauser
Justus Bogner
AI4TS
24
8
0
23 Mar 2023
Towards a Roadmap on Software Engineering for Responsible AI
Towards a Roadmap on Software Engineering for Responsible AI
Qinghua Lu
Liming Zhu
Xiwei Xu
Jon Whittle
Zhenchang Xing
25
53
0
09 Mar 2022
AI Ethics Principles in Practice: Perspectives of Designers and
  Developers
AI Ethics Principles in Practice: Perspectives of Designers and Developers
Conrad Sanderson
David M. Douglas
Qinghua Lu
Emma Schleiger
Jon Whittle
J. Lacey
G. Newnham
S. Hajkowicz
Cathy J. Robinson
David Hansen
FaML
23
46
0
14 Dec 2021
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
323
4,203
0
23 Aug 2019
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