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CrowdWorkSheets: Accounting for Individual and Collective Identities
  Underlying Crowdsourced Dataset Annotation

CrowdWorkSheets: Accounting for Individual and Collective Identities Underlying Crowdsourced Dataset Annotation

9 June 2022
Mark Díaz
Ian D Kivlichan
Rachel Rosen
Dylan K. Baker
Razvan Amironesei
Vinodkumar Prabhakaran
Emily L. Denton
ArXiv (abs)PDFHTML

Papers citing "CrowdWorkSheets: Accounting for Individual and Collective Identities Underlying Crowdsourced Dataset Annotation"

50 / 50 papers shown
Title
How do datasets, developers, and models affect biases in a low-resourced language?
How do datasets, developers, and models affect biases in a low-resourced language?
Dipto Das
Shion Guha
Bryan Semaan
21
0
0
07 Jun 2025
TEDI: Trustworthy and Ethical Dataset Indicators to Analyze and Compare Dataset Documentation
TEDI: Trustworthy and Ethical Dataset Indicators to Analyze and Compare Dataset Documentation
Wiebke Hutiri
Mircea Cimpoi
M. Scheuerman
Victoria Matthews
Alice Xiang
167
0
0
23 May 2025
Improving User Behavior Prediction: Leveraging Annotator Metadata in Supervised Machine Learning Models
Improving User Behavior Prediction: Leveraging Annotator Metadata in Supervised Machine Learning Models
Lynnette Ng
Kokil Jaidka
Kaiyuan Tay
Hansin Ahuja
Niyati Chhaya
131
1
0
26 Mar 2025
The Case for "Thick Evaluations" of Cultural Representation in AI
The Case for "Thick Evaluations" of Cultural Representation in AI
Rida Qadri
Mark Díaz
Ding Wang
Michael Madaio
91
4
0
24 Mar 2025
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
90
0
0
20 Feb 2025
AI Alignment at Your Discretion
AI Alignment at Your Discretion
Maarten Buyl
Hadi Khalaf
C. M. Verdun
Lucas Monteiro Paes
Caio Vieira Machado
Flavio du Pin Calmon
114
1
0
10 Feb 2025
What Makes An Expert? Reviewing How ML Researchers Define "Expert"
What Makes An Expert? Reviewing How ML Researchers Define "Expert"
Mark Díaz
Angela D. R. Smith
54
2
0
31 Oct 2024
Surveys Considered Harmful? Reflecting on the Use of Surveys in AI
  Research, Development, and Governance
Surveys Considered Harmful? Reflecting on the Use of Surveys in AI Research, Development, and Governance
Mohammmad Tahaei
Daricia Wilkinson
Alisa Frik
Chi Lok Yu
Ruba Abu-Salma
Lauren Wilcox
71
4
0
26 Jul 2024
Exploring the Capability of ChatGPT to Reproduce Human Labels for Social
  Computing Tasks (Extended Version)
Exploring the Capability of ChatGPT to Reproduce Human Labels for Social Computing Tasks (Extended Version)
Yiming Zhu
Peixian Zhang
Ehsan-ul Haq
Pan Hui
Gareth Tyson
ALMAI4MH
100
0
0
08 Jul 2024
Documentation Practices of Artificial Intelligence
Documentation Practices of Artificial Intelligence
Stefan Arnold
Dilara Yesilbas
Rene Gröbner
Dominik Riedelbauch
Maik Horn
Sven Weinzierl
AI4TS
48
0
0
26 Jun 2024
Let Guidelines Guide You: A Prescriptive Guideline-Centered Data
  Annotation Methodology
Let Guidelines Guide You: A Prescriptive Guideline-Centered Data Annotation Methodology
Federico Ruggeri
Eleonora Misino
Arianna Muti
Katerina Korre
Paolo Torroni
Alberto Barrón-Cedeño
108
1
0
20 Jun 2024
Prompt Design Matters for Computational Social Science Tasks but in
  Unpredictable Ways
Prompt Design Matters for Computational Social Science Tasks but in Unpredictable Ways
Shubham Atreja
Joshua Ashkinaze
Lingyao Li
Julia Mendelsohn
Libby Hemphill
97
14
0
17 Jun 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
97
2
0
10 Jun 2024
Real Risks of Fake Data: Synthetic Data, Diversity-Washing and Consent
  Circumvention
Real Risks of Fake Data: Synthetic Data, Diversity-Washing and Consent Circumvention
Cedric Deslandes Whitney
Justin Norman
77
24
0
03 May 2024
Blind Spots and Biases: Exploring the Role of Annotator Cognitive Biases
  in NLP
Blind Spots and Biases: Exploring the Role of Annotator Cognitive Biases in NLP
Sanjana Gautam
Mukund Srinath
100
6
0
29 Apr 2024
From Model Performance to Claim: How a Change of Focus in Machine
  Learning Replicability Can Help Bridge the Responsibility Gap
From Model Performance to Claim: How a Change of Focus in Machine Learning Replicability Can Help Bridge the Responsibility Gap
Tianqi Kou
126
1
0
19 Apr 2024
D3CODE: Disentangling Disagreements in Data across Cultures on
  Offensiveness Detection and Evaluation
D3CODE: Disentangling Disagreements in Data across Cultures on Offensiveness Detection and Evaluation
Aida Mostafazadeh Davani
Mark Díaz
Dylan K. Baker
Vinodkumar Prabhakaran
74
10
0
16 Apr 2024
Racial/Ethnic Categories in AI and Algorithmic Fairness: Why They Matter
  and What They Represent
Racial/Ethnic Categories in AI and Algorithmic Fairness: Why They Matter and What They Represent
Jennifer Mickel
60
7
0
10 Apr 2024
Using Large Language Models to Enrich the Documentation of Datasets for
  Machine Learning
Using Large Language Models to Enrich the Documentation of Datasets for Machine Learning
Joan Giner-Miguelez
Abel Gómez
Jordi Cabot
LLMAG
78
4
0
04 Apr 2024
If in a Crowdsourced Data Annotation Pipeline, a GPT-4
If in a Crowdsourced Data Annotation Pipeline, a GPT-4
Zeyu He
Huang Chieh-Yang
C. C. Ding
Shaurya Rohatgi
Ting-Hao 'Kenneth' Huang
112
33
0
26 Feb 2024
Farsight: Fostering Responsible AI Awareness During AI Application
  Prototyping
Farsight: Fostering Responsible AI Awareness During AI Application Prototyping
Zijie J. Wang
Chinmay Kulkarni
Lauren Wilcox
Michael Terry
Michael A. Madaio
77
50
0
23 Feb 2024
Discipline and Label: A WEIRD Genealogy and Social Theory of Data
  Annotation
Discipline and Label: A WEIRD Genealogy and Social Theory of Data Annotation
Andrew Smart
Ding Wang
Ellis Monk
Mark Díaz
Atoosa Kasirzadeh
Erin van Liemt
Sonja Schmer-Galunder
83
8
0
09 Feb 2024
Copycats: the many lives of a publicly available medical imaging dataset
Copycats: the many lives of a publicly available medical imaging dataset
Amelia Jiménez-Sánchez
Natalia-Rozalia Avlona
Dovile Juodelyte
Théo Sourget
Caroline Vang-Larsen
Anna Rogers
Hubert Dariusz Zajkac
Veronika Cheplygina
107
2
0
09 Feb 2024
A Scoping Study of Evaluation Practices for Responsible AI Tools: Steps
  Towards Effectiveness Evaluations
A Scoping Study of Evaluation Practices for Responsible AI Tools: Steps Towards Effectiveness Evaluations
G. Berman
Nitesh Goyal
Michael A. Madaio
ELM
73
23
0
30 Jan 2024
Generalized People Diversity: Learning a Human Perception-Aligned
  Diversity Representation for People Images
Generalized People Diversity: Learning a Human Perception-Aligned Diversity Representation for People Images
Hansa Srinivasan
Candice Schumann
Aradhana Sinha
David Madras
Gbolahan O. Olanubi
Alex Beutel
Susanna Ricco
Jilin Chen
96
6
0
25 Jan 2024
On the Readiness of Scientific Data for a Fair and Transparent Use in
  Machine Learning
On the Readiness of Scientific Data for a Fair and Transparent Use in Machine Learning
Joan Giner-Miguelez
Abel Gómez
Jordi Cabot
60
0
0
18 Jan 2024
Disentangling Perceptions of Offensiveness: Cultural and Moral
  Correlates
Disentangling Perceptions of Offensiveness: Cultural and Moral Correlates
Aida Mostafazadeh Davani
Mark Díaz
Dylan K. Baker
Vinodkumar Prabhakaran
AAML
63
18
0
11 Dec 2023
SoUnD Framework: Analyzing (So)cial Representation in (Un)structured
  (D)ata
SoUnD Framework: Analyzing (So)cial Representation in (Un)structured (D)ata
Mark Díaz
Sunipa Dev
Emily Reif
Remi Denton
Vinodkumar Prabhakaran
103
4
0
28 Nov 2023
Is a Seat at the Table Enough? Engaging Teachers and Students in Dataset
  Specification for ML in Education
Is a Seat at the Table Enough? Engaging Teachers and Students in Dataset Specification for ML in Education
Mei Tan
Hansol Lee
Dakuo Wang
Hariharan Subramonyam
60
8
0
09 Nov 2023
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
106
7
0
01 Nov 2023
Sensitivity, Performance, Robustness: Deconstructing the Effect of
  Sociodemographic Prompting
Sensitivity, Performance, Robustness: Deconstructing the Effect of Sociodemographic Prompting
Tilman Beck
Hendrik Schuff
Anne Lauscher
Iryna Gurevych
103
37
0
13 Sep 2023
FACET: Fairness in Computer Vision Evaluation Benchmark
FACET: Fairness in Computer Vision Evaluation Benchmark
Laura Gustafson
Chloe Rolland
Nikhila Ravi
Quentin Duval
Aaron B. Adcock
Cheng-Yang Fu
Melissa Hall
Candace Ross
VLMEGVM
106
40
0
31 Aug 2023
Collect, Measure, Repeat: Reliability Factors for Responsible AI Data
  Collection
Collect, Measure, Repeat: Reliability Factors for Responsible AI Data Collection
Oana Inel
Tim Draws
Lora Aroyo
103
6
0
22 Aug 2023
Scaling Laws Do Not Scale
Scaling Laws Do Not Scale
Fernando Diaz
Michael A. Madaio
104
12
0
05 Jul 2023
Going public: the role of public participation approaches in commercial
  AI labs
Going public: the role of public participation approaches in commercial AI labs
Lara Groves
Aidan Peppin
A. Strait
Jenny Brennan
72
30
0
16 Jun 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
ELMEGVM
139
117
0
09 Jun 2023
The ethical ambiguity of AI data enrichment: Measuring gaps in research
  ethics norms and practices
The ethical ambiguity of AI data enrichment: Measuring gaps in research ethics norms and practices
Will Hawkins
Brent Mittelstadt
97
10
0
01 Jun 2023
AI's Regimes of Representation: A Community-centered Study of
  Text-to-Image Models in South Asia
AI's Regimes of Representation: A Community-centered Study of Text-to-Image Models in South Asia
Rida Qadri
Renee Shelby
Cynthia L. Bennett
Emily Denton
77
75
0
19 May 2023
SeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage
  Leveraging Generative Models
SeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage Leveraging Generative Models
Akshita Jha
Aida Mostafazadeh Davani
Chandan K. Reddy
Shachi Dave
Vinodkumar Prabhakaran
Sunipa Dev
87
50
0
19 May 2023
PaLM 2 Technical Report
PaLM 2 Technical Report
Rohan Anil
Andrew M. Dai
Orhan Firat
Melvin Johnson
Dmitry Lepikhin
...
Ce Zheng
Wei Zhou
Denny Zhou
Slav Petrov
Yonghui Wu
ReLMLRM
260
1,209
0
17 May 2023
Consensus and Subjectivity of Skin Tone Annotation for ML Fairness
Consensus and Subjectivity of Skin Tone Annotation for ML Fairness
Candice Schumann
Gbolahan O. Olanubi
Auriel Wright
Ellis P. Monk
Courtney Heldreth
Susanna Ricco
110
24
0
16 May 2023
"HOT" ChatGPT: The promise of ChatGPT in detecting and discriminating
  hateful, offensive, and toxic comments on social media
"HOT" ChatGPT: The promise of ChatGPT in detecting and discriminating hateful, offensive, and toxic comments on social media
Lingyao Li
Lizhou Fan
Shubham Atreja
Libby Hemphill
AI4MH
99
97
0
20 Apr 2023
Segment Anything
Segment Anything
A. Kirillov
Eric Mintun
Nikhila Ravi
Hanzi Mao
Chloe Rolland
...
Spencer Whitehead
Alexander C. Berg
Wan-Yen Lo
Piotr Dollár
Ross B. Girshick
MLLMVLM
459
7,452
0
05 Apr 2023
City-Wide Perceptions of Neighbourhood Quality using Street View Images
City-Wide Perceptions of Neighbourhood Quality using Street View Images
Emily Muller
Emily Gemmell
Ishmam Choudhury
Ricky Nathvani
A. B. Metzler
J. Bennett
Emily L. Denton
Seth Flaxman
M. Ezzati
28
2
0
22 Nov 2022
Cultural Incongruencies in Artificial Intelligence
Cultural Incongruencies in Artificial Intelligence
Vinodkumar Prabhakaran
Rida Qadri
Ben Hutchinson
56
22
0
19 Nov 2022
Making Intelligence: Ethical Values in IQ and ML Benchmarks
Making Intelligence: Ethical Values in IQ and ML Benchmarks
Borhane Blili-Hamelin
Leif Hancox-Li
69
18
0
01 Sep 2022
A domain-specific language for describing machine learning datasets
A domain-specific language for describing machine learning datasets
Joan Giner-Miguelez
Abel Gómez
Jordi Cabot
ALM
55
26
0
05 Jul 2022
Eliciting and Learning with Soft Labels from Every Annotator
Eliciting and Learning with Soft Labels from Every Annotator
Katherine M. Collins
Umang Bhatt
Adrian Weller
86
47
0
02 Jul 2022
Saliency Cards: A Framework to Characterize and Compare Saliency Methods
Saliency Cards: A Framework to Characterize and Compare Saliency Methods
Angie Boggust
Harini Suresh
Hendrik Strobelt
John Guttag
Arvindmani Satyanarayan
FAttXAI
71
10
0
07 Jun 2022
Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation
  Practices for Generated Text
Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text
Sebastian Gehrmann
Elizabeth Clark
Thibault Sellam
ELMAI4CE
157
193
0
14 Feb 2022
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