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"What We Can't Measure, We Can't Understand": Challenges to Demographic
  Data Procurement in the Pursuit of Fairness

"What We Can't Measure, We Can't Understand": Challenges to Demographic Data Procurement in the Pursuit of Fairness

30 October 2020
Mckane Andrus
Elena Spitzer
Jeffrey Brown
Alice Xiang
ArXivPDFHTML

Papers citing ""What We Can't Measure, We Can't Understand": Challenges to Demographic Data Procurement in the Pursuit of Fairness"

50 / 56 papers shown
Title
Talking About the Assumption in the Room
Talking About the Assumption in the Room
Ramaravind Kommiya Mothilal
Faisal M. Lalani
Syed Ishtiaque Ahmed
Shion Guha
Sharifa Sultana
56
0
0
20 Feb 2025
Auditing a Dutch Public Sector Risk Profiling Algorithm Using an Unsupervised Bias Detection Tool
Auditing a Dutch Public Sector Risk Profiling Algorithm Using an Unsupervised Bias Detection Tool
Floris Holstege
Mackenzie Jorgensen
Kirtan Padh
Jurriaan Parie
Joel Persson
Krsto Prorokovic
Lukas Snoek
100
0
0
03 Feb 2025
Accurate and Data-Efficient Toxicity Prediction when Annotators Disagree
Accurate and Data-Efficient Toxicity Prediction when Annotators Disagree
Harbani Jaggi
Kashyap Murali
Eve Fleisig
Erdem Bıyık
24
1
0
16 Oct 2024
Minimum Viable Ethics: From Institutionalizing Industry AI Governance to
  Product Impact
Minimum Viable Ethics: From Institutionalizing Industry AI Governance to Product Impact
Archana Ahlawat
Amy Winecoff
Jonathan Mayer
51
1
0
11 Sep 2024
Position: Measure Dataset Diversity, Don't Just Claim It
Position: Measure Dataset Diversity, Don't Just Claim It
Dora Zhao
Jerone T. A. Andrews
Orestis Papakyriakopoulos
Alice Xiang
64
14
0
11 Jul 2024
FairJob: A Real-World Dataset for Fairness in Online Systems
FairJob: A Real-World Dataset for Fairness in Online Systems
Mariia Vladimirova
Federico Pavone
Eustache Diemert
37
1
0
03 Jul 2024
A Taxonomy of Challenges to Curating Fair Datasets
A Taxonomy of Challenges to Curating Fair Datasets
Dora Zhao
M. Scheuerman
Pooja Chitre
Jerone T. A. Andrews
Georgia Panagiotidou
Shawn Walker
Kathleen H. Pine
Alice Xiang
39
2
0
10 Jun 2024
Addressing Discretization-Induced Bias in Demographic Prediction
Addressing Discretization-Induced Bias in Demographic Prediction
Evan Dong
Aaron Schein
Yixin Wang
Nikhil Garg
32
3
0
27 May 2024
Interpretability Needs a New Paradigm
Interpretability Needs a New Paradigm
Andreas Madsen
Himabindu Lakkaraju
Siva Reddy
Sarath Chandar
39
4
0
08 May 2024
Lazy Data Practices Harm Fairness Research
Lazy Data Practices Harm Fairness Research
Jan Simson
Alessandro Fabris
Christoph Kern
23
5
0
26 Apr 2024
Fairness Without Harm: An Influence-Guided Active Sampling Approach
Fairness Without Harm: An Influence-Guided Active Sampling Approach
Jinlong Pang
Jialu Wang
Zhaowei Zhu
Yuanshun Yao
Chen Qian
Yang Liu
TDI
46
2
0
20 Feb 2024
AboutMe: Using Self-Descriptions in Webpages to Document the Effects of
  English Pretraining Data Filters
AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filters
L. Lucy
Suchin Gururangan
Luca Soldaini
Emma Strubell
David Bamman
Lauren Klein
Jesse Dodge
26
14
0
12 Jan 2024
Modeling subjectivity (by Mimicking Annotator Annotation) in toxic
  comment identification across diverse communities
Modeling subjectivity (by Mimicking Annotator Annotation) in toxic comment identification across diverse communities
Senjuti Dutta
Sid Mittal
Sherol Chen
Deepak Ramachandran
Ravi Rajakumar
Ian D Kivlichan
Sunny Mak
Alena Butryna
Praveen Paritosh University of Tennessee
32
5
0
01 Nov 2023
"One-Size-Fits-All"? Examining Expectations around What Constitute
  "Fair" or "Good" NLG System Behaviors
"One-Size-Fits-All"? Examining Expectations around What Constitute "Fair" or "Good" NLG System Behaviors
Li Lucy
Su Lin Blodgett
Milad Shokouhi
Hanna M. Wallach
Alexandra Olteanu
31
7
0
23 Oct 2023
Estimating and Implementing Conventional Fairness Metrics With
  Probabilistic Protected Features
Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features
Hadi Elzayn
Emily Black
Patrick Vossler
Nathanael Jo
Jacob Goldin
Daniel E. Ho
16
2
0
02 Oct 2023
Beyond Skin Tone: A Multidimensional Measure of Apparent Skin Color
Beyond Skin Tone: A Multidimensional Measure of Apparent Skin Color
William Thong
Przemyslaw K. Joniak
Alice Xiang
22
19
0
10 Sep 2023
TIDE: Textual Identity Detection for Evaluating and Augmenting
  Classification and Language Models
TIDE: Textual Identity Detection for Evaluating and Augmenting Classification and Language Models
Emmanuel Klu
Sameer Sethi
20
0
0
07 Sep 2023
When Fair Classification Meets Noisy Protected Attributes
When Fair Classification Meets Noisy Protected Attributes
Avijit Ghosh
Pablo Kvitca
Chris L. Wilson
FaML
19
6
0
06 Jul 2023
Evaluating the Social Impact of Generative AI Systems in Systems and
  Society
Evaluating the Social Impact of Generative AI Systems in Systems and Society
Irene Solaiman
Zeerak Talat
William Agnew
Lama Ahmad
Dylan K. Baker
...
Marie-Therese Png
Shubham Singh
A. Strait
Lukas Struppek
Arjun Subramonian
ELM
EGVM
31
104
0
09 Jun 2023
Disentangling and Operationalizing AI Fairness at LinkedIn
Disentangling and Operationalizing AI Fairness at LinkedIn
Joaquin Quiñonero Candela
Yuwen Wu
Brian Hsu
Sakshi Jain
Jennifer Ramos
Jon Adams
R. Hallman
Kinjal Basu
21
9
0
30 May 2023
A View From Somewhere: Human-Centric Face Representations
A View From Somewhere: Human-Centric Face Representations
Jerone T. A. Andrews
Przemyslaw K. Joniak
Alice Xiang
CVBM
16
9
0
30 Mar 2023
Can Workers Meaningfully Consent to Workplace Wellbeing Technologies?
Can Workers Meaningfully Consent to Workplace Wellbeing Technologies?
Shreyans Chowdhary
Anna Kawakami
Mary L. Gray
J. Suh
Alexandra Olteanu
Koustuv Saha
36
30
0
13 Mar 2023
Overwriting Pretrained Bias with Finetuning Data
Overwriting Pretrained Bias with Finetuning Data
Angelina Wang
Olga Russakovsky
21
29
0
10 Mar 2023
Multi-dimensional discrimination in Law and Machine Learning -- A
  comparative overview
Multi-dimensional discrimination in Law and Machine Learning -- A comparative overview
Arjun Roy
J. Horstmann
Eirini Ntoutsi
FaML
13
20
0
12 Feb 2023
Ethical Considerations for Responsible Data Curation
Ethical Considerations for Responsible Data Curation
Jerone T. A. Andrews
Dora Zhao
William Thong
Apostolos Modas
Orestis Papakyriakopoulos
Alice Xiang
17
19
0
07 Feb 2023
An Operational Perspective to Fairness Interventions: Where and How to
  Intervene
An Operational Perspective to Fairness Interventions: Where and How to Intervene
Brian Hsu
Xiaotong Chen
Ying Han
Hongseok Namkoong
Kinjal Basu
24
1
0
03 Feb 2023
Simplicity Bias Leads to Amplified Performance Disparities
Simplicity Bias Leads to Amplified Performance Disparities
Samuel J. Bell
Levent Sagun
19
12
0
13 Dec 2022
Fair Ranking with Noisy Protected Attributes
Fair Ranking with Noisy Protected Attributes
Anay Mehrotra
Nisheeth K. Vishnoi
23
16
0
30 Nov 2022
A Keyword Based Approach to Understanding the Overpenalization of
  Marginalized Groups by English Marginal Abuse Models on Twitter
A Keyword Based Approach to Understanding the Overpenalization of Marginalized Groups by English Marginal Abuse Models on Twitter
Kyra Yee
Alice Schoenauer Sebag
Olivia Redfield
Emily Sheng
Matthias Eck
Luca Belli
15
2
0
07 Oct 2022
Weak Proxies are Sufficient and Preferable for Fairness with Missing
  Sensitive Attributes
Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes
Zhaowei Zhu
Yuanshun Yao
Jiankai Sun
Hanguang Li
Y. Liu
26
21
0
06 Oct 2022
Representing Marginalized Populations: Challenges in Anthropographics
Representing Marginalized Populations: Challenges in Anthropographics
Priya Dhawka
H. He
Wesley Willett
11
2
0
06 Oct 2022
From plane crashes to algorithmic harm: applicability of safety
  engineering frameworks for responsible ML
From plane crashes to algorithmic harm: applicability of safety engineering frameworks for responsible ML
Shalaleh Rismani
Renee Shelby
A. Smart
Edgar W. Jatho
Joshua A. Kroll
AJung Moon
Negar Rostamzadeh
34
36
0
06 Oct 2022
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training
  Dynamics
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics
Shoaib Ahmed Siddiqui
Nitarshan Rajkumar
Tegan Maharaj
David M. Krueger
Sara Hooker
37
27
0
20 Sep 2022
FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness,
  Accountability and Transparency Algorithms in Predictive Systems
FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems
Kacper Sokol
Alexander Hepburn
Rafael Poyiadzi
M. Clifford
Raúl Santos-Rodríguez
Peter A. Flach
27
29
0
08 Sep 2022
What-is and How-to for Fairness in Machine Learning: A Survey,
  Reflection, and Perspective
What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective
Zeyu Tang
Jiji Zhang
Kun Zhang
FaML
25
26
0
08 Jun 2022
Regulating Facial Processing Technologies: Tensions Between Legal and
  Technical Considerations in the Application of Illinois BIPA
Regulating Facial Processing Technologies: Tensions Between Legal and Technical Considerations in the Application of Illinois BIPA
Rui-Jie Yew
Alice X. Xiang
11
12
0
15 May 2022
Exploring How Machine Learning Practitioners (Try To) Use Fairness
  Toolkits
Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits
Wesley Hanwen Deng
Manish Nagireddy
M. S. Lee
Jatinder Singh
Zhiwei Steven Wu
Kenneth Holstein
Haiyi Zhu
36
88
0
13 May 2022
Evaluation Gaps in Machine Learning Practice
Evaluation Gaps in Machine Learning Practice
Ben Hutchinson
Negar Rostamzadeh
Christina Greer
Katherine A. Heller
Vinodkumar Prabhakaran
ELM
25
56
0
11 May 2022
Subverting Fair Image Search with Generative Adversarial Perturbations
Subverting Fair Image Search with Generative Adversarial Perturbations
A. Ghosh
Matthew Jagielski
Chris L. Wilson
17
7
0
05 May 2022
Demographic-Reliant Algorithmic Fairness: Characterizing the Risks of
  Demographic Data Collection in the Pursuit of Fairness
Demographic-Reliant Algorithmic Fairness: Characterizing the Risks of Demographic Data Collection in the Pursuit of Fairness
Mckane Andrus
Sarah Villeneuve
FaML
16
50
0
18 Apr 2022
Model Positionality and Computational Reflexivity: Promoting Reflexivity
  in Data Science
Model Positionality and Computational Reflexivity: Promoting Reflexivity in Data Science
S. Cambo
Darren Gergle
15
34
0
08 Mar 2022
Language technology practitioners as language managers: arbitrating data
  bias and predictive bias in ASR
Language technology practitioners as language managers: arbitrating data bias and predictive bias in ASR
Nina Markl
S. McNulty
17
9
0
25 Feb 2022
Fair ranking: a critical review, challenges, and future directions
Fair ranking: a critical review, challenges, and future directions
Gourab K. Patro
Lorenzo Porcaro
Laura Mitchell
Qiuyue Zhang
Meike Zehlike
Nikhil Garg
18
51
0
29 Jan 2022
Assessing the Fairness of AI Systems: AI Practitioners' Processes,
  Challenges, and Needs for Support
Assessing the Fairness of AI Systems: AI Practitioners' Processes, Challenges, and Needs for Support
Michael A. Madaio
Lisa Egede
Hariharan Subramonyam
Jennifer Wortman Vaughan
Hanna M. Wallach
25
141
0
10 Dec 2021
Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer
  Treatment-Effects from Observational Data
Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data
Andrew Jesson
P. Tigas
Joost R. van Amersfoort
Andreas Kirsch
Uri Shalit
Y. Gal
CML
34
30
0
03 Nov 2021
Measuring Fairness Under Unawareness of Sensitive Attributes: A
  Quantification-Based Approach
Measuring Fairness Under Unawareness of Sensitive Attributes: A Quantification-Based Approach
Alessandro Fabris
Andrea Esuli
Alejandro Moreo
Fabrizio Sebastiani
18
18
0
17 Sep 2021
Challenges in Detoxifying Language Models
Challenges in Detoxifying Language Models
Johannes Welbl
Amelia Glaese
J. Uesato
Sumanth Dathathri
John F. J. Mellor
Lisa Anne Hendricks
Kirsty Anderson
Pushmeet Kohli
Ben Coppin
Po-Sen Huang
LM&MA
242
193
0
15 Sep 2021
Demystifying the Draft EU Artificial Intelligence Act
Demystifying the Draft EU Artificial Intelligence Act
Michael Veale
Frederik J. Zuiderveen Borgesius
24
333
0
08 Jul 2021
Targeted Active Learning for Bayesian Decision-Making
Targeted Active Learning for Bayesian Decision-Making
Louis Filstroff
Iiris Sundin
P. Mikkola
A. Tiulpin
Juuso Kylmäoja
Samuel Kaski
11
4
0
08 Jun 2021
Image Cropping on Twitter: Fairness Metrics, their Limitations, and the
  Importance of Representation, Design, and Agency
Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency
Kyra Yee
U. Tantipongpipat
Shubhanshu Mishra
13
46
0
18 May 2021
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