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Socially Responsible AI Algorithms: Issues, Purposes, and Challenges

Socially Responsible AI Algorithms: Issues, Purposes, and Challenges

1 January 2021
Lu Cheng
Kush R. Varshney
Huan Liu
    FaML
ArXivPDFHTML

Papers citing "Socially Responsible AI Algorithms: Issues, Purposes, and Challenges"

13 / 13 papers shown
Title
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges
Usman Gohar
Zeyu Tang
Jialu Wang
Kun Zhang
Peter Spirtes
Yang Liu
Lu Cheng
FaML
66
3
0
10 Jun 2024
A Mathematical Model of the Hidden Feedback Loop Effect in Machine
  Learning Systems
A Mathematical Model of the Hidden Feedback Loop Effect in Machine Learning Systems
Andrey Veprikov
Alexander Afanasiev
Anton Khritankov
40
2
0
04 May 2024
Interpreting Pretrained Language Models via Concept Bottlenecks
Interpreting Pretrained Language Models via Concept Bottlenecks
Zhen Tan
Lu Cheng
Song Wang
Yuan Bo
Wenlin Yao
Huan Liu
LRM
32
20
0
08 Nov 2023
Intersectionality and Testimonial Injustice in Medical Records
Intersectionality and Testimonial Injustice in Medical Records
Kenya Andrews
Bhuvani Shah
Lu Cheng
23
0
0
20 Jun 2023
Less is More: The Influence of Pruning on the Explainability of CNNs
Less is More: The Influence of Pruning on the Explainability of CNNs
David Weber
F. Merkle
Pascal Schöttle
Stephan Schlögl
Martin Nocker
FAtt
34
1
0
17 Feb 2023
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed
  on AI-based Recruitment
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-based Recruitment
Alejandro Peña
Ignacio Serna
Aythami Morales
Julian Fierrez
Alfonso Ortega
Ainhoa Herrarte
Manuel Alcántara
J. Ortega-Garcia
FaML
25
34
0
13 Feb 2023
Debiasing Word Embeddings with Nonlinear Geometry
Debiasing Word Embeddings with Nonlinear Geometry
Lu Cheng
Nayoung Kim
Huan Liu
24
5
0
29 Aug 2022
Toward Understanding Bias Correlations for Mitigation in NLP
Toward Understanding Bias Correlations for Mitigation in NLP
Lu Cheng
Suyu Ge
Huan Liu
31
8
0
24 May 2022
Evaluation Methods and Measures for Causal Learning Algorithms
Evaluation Methods and Measures for Causal Learning Algorithms
Lu Cheng
Ruocheng Guo
Raha Moraffah
Paras Sheth
K. S. Candan
Huan Liu
CML
ELM
24
51
0
07 Feb 2022
Causal Learning for Socially Responsible AI
Causal Learning for Socially Responsible AI
Lu Cheng
Ahmadreza Mosallanezhad
Paras Sheth
Huan Liu
71
13
0
25 Apr 2021
Responsible AI: Gender bias assessment in emotion recognition
Responsible AI: Gender bias assessment in emotion recognition
Artem Domnich
G. Anbarjafari
11
48
0
21 Mar 2021
Explaining Visual Models by Causal Attribution
Explaining Visual Models by Causal Attribution
Álvaro Parafita
Jordi Vitrià
CML
FAtt
62
35
0
19 Sep 2019
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
4,212
0
23 Aug 2019
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