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D-BIAS: A Causality-Based Human-in-the-Loop System for Tackling
  Algorithmic Bias

D-BIAS: A Causality-Based Human-in-the-Loop System for Tackling Algorithmic Bias

10 August 2022
Bhavya Ghai
Klaus Mueller
ArXiv (abs)PDFHTML

Papers citing "D-BIAS: A Causality-Based Human-in-the-Loop System for Tackling Algorithmic Bias"

19 / 19 papers shown
Title
FairPlay: A Collaborative Approach to Mitigate Bias in Datasets for Improved AI Fairness
FairPlay: A Collaborative Approach to Mitigate Bias in Datasets for Improved AI Fairness
Tina Behzad
Mithilesh Singh
Anthony J. Ripa
Klaus Mueller
96
0
0
22 Apr 2025
Revisiting Technical Bias Mitigation Strategies
Revisiting Technical Bias Mitigation Strategies
Abdoul Jalil Djiberou Mahamadou
Artem A. Trotsyuk
116
1
0
22 Oct 2024
Using AI Alignment Theory to understand the potential pitfalls of
  regulatory frameworks
Using AI Alignment Theory to understand the potential pitfalls of regulatory frameworks
Alejandro Tlaie
62
0
0
10 Oct 2024
Interactive Counterfactual Exploration of Algorithmic Harms in
  Recommender Systems
Interactive Counterfactual Exploration of Algorithmic Harms in Recommender Systems
Yongsu Ahn
Quinn K. Wolter
Jonilyn Dick
Janet Dick
Yu-Ru Lin
HAI
99
0
0
10 Sep 2024
Striking the Right Balance: Systematic Assessment of Evaluation Method
  Distribution Across Contribution Types
Striking the Right Balance: Systematic Assessment of Evaluation Method Distribution Across Contribution Types
Feng Lin
Arran Zeyu Wang
Md Dilshadur Rahman
D. Szafir
Ghulam Jilani Quadri
98
0
0
28 Aug 2024
Visual Analysis of Multi-outcome Causal Graphs
Visual Analysis of Multi-outcome Causal Graphs
Mengjie Fan
Jinlu Yu
Daniel Weiskopf
Nan Cao
Huai-Yu Wang
Liang Zhou
CML
60
1
0
31 Jul 2024
Situated Ground Truths: Enhancing Bias-Aware AI by Situating Data Labels
  with SituAnnotate
Situated Ground Truths: Enhancing Bias-Aware AI by Situating Data Labels with SituAnnotate
Delfina Sol Martinez Pandiani
Valentina Presutti
91
1
0
10 Jun 2024
Explainable Interface for Human-Autonomy Teaming: A Survey
Explainable Interface for Human-Autonomy Teaming: A Survey
Xiangqi Kong
Yang Xing
Antonios Tsourdos
Ziyue Wang
Weisi Guo
Adolfo Perrusquía
Andreas Wikander
76
4
0
04 May 2024
ASAP: Interpretable Analysis and Summarization of AI-generated Image
  Patterns at Scale
ASAP: Interpretable Analysis and Summarization of AI-generated Image Patterns at Scale
Jinbin Huang
Chong Chen
Aditi Mishra
Bum Chul Kwon
Zhicheng Liu
Chris Bryan
93
4
0
03 Apr 2024
Harder, Better, Faster, Stronger: Interactive Visualization for
  Human-Centered AI Tools
Harder, Better, Faster, Stronger: Interactive Visualization for Human-Centered AI Tools
Md. Naimul Hoque
Sungbok Shin
Niklas Elmqvist
76
1
0
02 Apr 2024
How to be fair? A study of label and selection bias
How to be fair? A study of label and selection bias
Marco Favier
T. Calders
Sam Pinxteren
Jonathan Meyer
91
9
0
21 Mar 2024
Belief Miner: A Methodology for Discovering Causal Beliefs and Causal
  Illusions from General Populations
Belief Miner: A Methodology for Discovering Causal Beliefs and Causal Illusions from General Populations
Shahreen Salim
Md. Naimul Hoque
Klaus Mueller
66
2
0
16 Jan 2024
An Explainable AI Approach to Large Language Model Assisted Causal Model
  Auditing and Development
An Explainable AI Approach to Large Language Model Assisted Causal Model Auditing and Development
Yanming Zhang
Brette Fitzgibbon
Dino Garofolo
Akshith Kota
Eric Papenhausen
Klaus Mueller
CML
76
6
0
23 Dec 2023
Comprehensive Validation on Reweighting Samples for Bias Mitigation via
  AIF360
Comprehensive Validation on Reweighting Samples for Bias Mitigation via AIF360
Christina Hastings Blow
Lijun Qian
Camille Gibson
Pamela Obiomon
Xishuang Dong
49
6
0
19 Dec 2023
From Google Gemini to OpenAI Q* (Q-Star): A Survey of Reshaping the
  Generative Artificial Intelligence (AI) Research Landscape
From Google Gemini to OpenAI Q* (Q-Star): A Survey of Reshaping the Generative Artificial Intelligence (AI) Research Landscape
Timothy R. McIntosh
Teo Susnjak
Tong Liu
Paul Watters
Malka N. Halgamuge
157
54
0
18 Dec 2023
My Model is Unfair, Do People Even Care? Visual Design Affects Trust and
  Perceived Bias in Machine Learning
My Model is Unfair, Do People Even Care? Visual Design Affects Trust and Perceived Bias in Machine Learning
Aimen Gaba
Zhanna Kaufman
Jason Chueng
Marie Shvakel
Kyle Wm. Hall
Yuriy Brun
Cindy Xiong Bearfield
61
14
0
07 Aug 2023
Dataopsy: Scalable and Fluid Visual Exploration using Aggregate Query
  Sculpting
Dataopsy: Scalable and Fluid Visual Exploration using Aggregate Query Sculpting
Md. Naimul Hoque
Niklas Elmqvist
82
5
0
05 Aug 2023
Visual Analytics For Machine Learning: A Data Perspective Survey
Visual Analytics For Machine Learning: A Data Perspective Survey
Junpeng Wang
Shixia Liu
Wei Zhang
HAI
91
20
0
15 Jul 2023
Causalvis: Visualizations for Causal Inference
Causalvis: Visualizations for Causal Inference
G. Guo
Ehud Karavani
Alex Endert
Bum Chul Kwon
CML
67
14
0
01 Mar 2023
1